Macarron User Manual

Abstract

Macarron is a workflow to systematically annotate and prioritize potentially bioactive (and often unannotated) small molecules in microbial community metabolomic datasets. Macarron prioritizes metabolic features as potentially bioactive in a phenotype/condition of interest using a combination of (a) covariance with annotated metabolites, (b) ecological properties such as abundance with respect to covarying annotated compounds, and (c) differential abundance in the phenotype/condition of interest.

If you have questions, please direct it to: Macarron Forum

Installation

Macarron requires R version 4.2.0 or higher. Install Bioconductor and then install Macarron:

if(!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("Macarron")

Running Macarron

Macarron can be run from the command line or as an R function. Both methods require the same arguments, have the same options, and use the same default settings. The package includes the wrapper Macarron() as well as functions which perform different steps in the Macarron framework.

Input CSV files

Macarron requires 4 comma-separated, appropriately formatted input files. The files and their formatting constraints are described below.

  1. Metabolic features abundances
    • Must contain features in rows and samples in columns.
    • First column must identify features.
  2. Metabolic features annotations
    • Must contain features in rows and annotations in columns.
    • First column must identify features.
    • Second column must contain either HMDB ID or PubChem Compound Identifier (CID).
    • Third column must contain the name of the metabolite.
    • Fourth column must contain a continuous chemical property such as m/z or RT or shift/ppm.
    • Other annotations such as RT, m/z or other identifiers can be listed column 4 onward.
  3. Sample metadata
    • Must contain samples in rows and metadata in columns.
    • First column must identify samples.
    • Second column must contain categorical metadata relevant to prioritization such as phenotypes, exposures or environments.
  4. Chemical taxonomy
    • First column must contain the HMDB ID or PubChem CID. IDs must be consistent between annotation and taxonomy files.
    • Second and third columns must contain chemical subclass and class of the respective metabolite.

If you do not have the chemical taxonomy file, you can generate this file using the annotation dataframe and Macarron utility decorate_ID (see Advanced Topics).

Output Files

By default, all files will be stored in a folder named Macarron_output inside the current working directory. The main prioritization results are stored in prioritized_metabolites_all.csv. Another file, prioritized_metabolites_characterizable.csv is a subset of prioritized_metabolites_all.csv and only contains metabolic features which covary with at least one annotated metabolite. The columns in these output files are:

  • Feature_index: Lists the identifier of the metabolic feature found in column 1 of abundance and annotation files.
  • HMDB_ID (or PubChem ID): Public database identifier from column 2 of annotation file (column 1 of annotation dataframe).
  • Metabolite name: From column 2 of annotation dataframe.
  • mz: The continuous numerical chemical property from column 3 of the annotation dataframe.
  • Priority_score: 1 indicates most prioritized. It is the percentile from the meta-rank of AVA, q-value and effect size.
  • Status: Direction of perturbation (differential abundance) in the phenotype (or environment) of interest compared to reference phenotype.
  • Module: ID of the covariance module a metabolic feature is a member of. Module = 0 indicates a singleton i.e., a metabolic feature that is not assigned to any module.
  • Anchor (of a module): Metabolic feature that has the highest abundance in any phenotype.
  • Related_classes: Chemical taxonomy of the annotated features that covary with a metabolic feature.
  • Covaries_with_standard: 1 (yes) and 0 (no). Column specifies if the metabolic feature covaries with at least one annotated (standard) metabolite.
  • AVA: Abundance versus anchor which is a ratio of the highest abundance (in any phenotype) of a metabolic feature and highest abundance of the covarying anchor. Naturally, the AVA of an anchor metabolite is 1.
  • qvalue: Estimated from multivariate linear model using Maaslin2.
  • effect_size
  • Remaining columns from the annotation dataframe are appended.

Run a demo in R

Using CSV files as inputs

Example (demo) input files can be found under inst/extdata folder of the Macarron source. These files were generated from the PRISM study of stool metabolomes of individuals with inflammatory bowel disease (IBD) and healthy “Control” individuals. Control and IBD are the two phenotypes in this example. Macarron will be applied to prioritize metabolic features with respect to their bioactivity in IBD. Therefore, in this example, the phenotype of interest is “IBD” and the reference phenotype is “Control”. The four input files are demo_abundances.csv, demo_annotations.csv, demo_metadata.csv, and demo_taxonomy.csv.

library(Macarron)
## Loading required package: SummarizedExperiment
## Loading required package: MatrixGenerics
## Loading required package: matrixStats
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## Attaching package: 'MatrixGenerics'
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## Loading required package: GenomicRanges
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prism_abundances <- system.file(
    'extdata','demo_abundances.csv', package="Macarron")
prism_annotations <-system.file(
    'extdata','demo_annotations.csv', package="Macarron")
prism_metadata <-system.file(
    'extdata','demo_metadata.csv', package="Macarron")
mets_taxonomy <-system.file(
    'extdata','demo_taxonomy.csv', package="Macarron")
prism_prioritized <- Macarron::Macarron(input_abundances = prism_abundances,
                                        input_annotations = prism_annotations,
                                        input_metadata = prism_metadata,
                                        input_taxonomy = mets_taxonomy)
## 2026-07-10 05:58:36.575211 INFO::Creating output folder.
## 2026-07-10 05:58:36.582958 INFO::Writing function arguments to log file
## Samples with both abundances and metadata: 102
## 2026-07-10 05:58:36.61929 INFO::Summarized Experiment created.
## 2026-07-10 05:58:36.6203 INFO::Metadata chosen for prevalence filtering: diagnosis
## 869 features pass chosen minimum prevalence threshold of 0.7.
## Calculating pairwise correlations in phenotype: IBD
## Calculating pairwise correlations in phenotype: Control
## Distance matrix with 869 features created.
## 2026-07-10 05:58:39.281785 INFO::Distance matrix with 869 metabolic features created.
## Initiating module detection
## 2026-07-10 05:58:39.28282 INFO::Minimum module size used for this dataset: 10
## Tree constructed
## Evaluating measures of success
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
## 2026-07-10 05:58:40.219298 INFO::Total number of modules detected: 30
## Initiating AVA calculations
## Finding anchors
## Calculating AVA
## Initiating q-value calculations
## [1] "Creating output folder"
## [1] "Creating output feature tables folder"
## [1] "Creating output fits folder"
## [1] "Creating output figures folder"
## 2026-07-10 05:58:41.626672 INFO::Writing function arguments to log file
## 2026-07-10 05:58:41.630862 INFO::Verifying options selected are valid
## 2026-07-10 05:58:41.65713 INFO::Determining format of input files
## 2026-07-10 05:58:41.657959 INFO::Input format is data samples as columns and metadata samples as rows
## 2026-07-10 05:58:41.67045 INFO::Formula for fixed effects: expr ~  diagnosis + age + antibiotics
## 2026-07-10 05:58:41.671484 INFO::Filter data based on min abundance and min prevalence
## 2026-07-10 05:58:41.672009 INFO::Total samples in data: 102
## 2026-07-10 05:58:41.672461 INFO::Min samples required with min abundance for a feature not to be filtered: 0.000000
## 2026-07-10 05:58:41.681543 INFO::Total filtered features: 0
## 2026-07-10 05:58:41.682279 INFO::Filtered feature names from abundance and prevalence filtering:
## 2026-07-10 05:58:41.698215 INFO::Total filtered features with variance filtering: 10
## 2026-07-10 05:58:41.698892 INFO::Filtered feature names from variance filtering: F1, F59, F74, F416, F577, F629, F672, F744, F754, F846
## 2026-07-10 05:58:41.699368 INFO::Running selected normalization method: NONE
## 2026-07-10 05:58:41.699902 INFO::Applying z-score to standardize continuous metadata
## 2026-07-10 05:58:41.713761 INFO::Running selected transform method: NONE
## 2026-07-10 05:58:41.714372 INFO::Running selected analysis method: LM
## 2026-07-10 05:58:41.718034 INFO::Fitting model to feature number 1, F2
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## 2026-07-10 05:58:42.112283 INFO::Fitting model to feature number 158, F167
## 2026-07-10 05:58:42.114548 INFO::Fitting model to feature number 159, F168
## 2026-07-10 05:58:42.116832 INFO::Fitting model to feature number 160, F169
## 2026-07-10 05:58:42.119132 INFO::Fitting model to feature number 161, F170
## 2026-07-10 05:58:42.121406 INFO::Fitting model to feature number 162, F171
## 2026-07-10 05:58:42.123677 INFO::Fitting model to feature number 163, F172
## 2026-07-10 05:58:42.125963 INFO::Fitting model to feature number 164, F173
## 2026-07-10 05:58:42.128224 INFO::Fitting model to feature number 165, F174
## 2026-07-10 05:58:42.130502 INFO::Fitting model to feature number 166, F175
## 2026-07-10 05:58:42.13284 INFO::Fitting model to feature number 167, F176
## 2026-07-10 05:58:42.135182 INFO::Fitting model to feature number 168, F177
## 2026-07-10 05:58:42.137521 INFO::Fitting model to feature number 169, F178
## 2026-07-10 05:58:42.139896 INFO::Fitting model to feature number 170, F179
## 2026-07-10 05:58:42.142184 INFO::Fitting model to feature number 171, F180
## 2026-07-10 05:58:42.144489 INFO::Fitting model to feature number 172, F181
## 2026-07-10 05:58:42.146821 INFO::Fitting model to feature number 173, F182
## 2026-07-10 05:58:42.149135 INFO::Fitting model to feature number 174, F183
## 2026-07-10 05:58:42.151504 INFO::Fitting model to feature number 175, F184
## 2026-07-10 05:58:42.153882 INFO::Fitting model to feature number 176, F185
## 2026-07-10 05:58:42.156193 INFO::Fitting model to feature number 177, F186
## 2026-07-10 05:58:42.158552 INFO::Fitting model to feature number 178, F187
## 2026-07-10 05:58:42.160875 INFO::Fitting model to feature number 179, F188
## 2026-07-10 05:58:42.163217 INFO::Fitting model to feature number 180, F189
## 2026-07-10 05:58:42.165526 INFO::Fitting model to feature number 181, F190
## 2026-07-10 05:58:42.167878 INFO::Fitting model to feature number 182, F191
## 2026-07-10 05:58:42.170248 INFO::Fitting model to feature number 183, F192
## 2026-07-10 05:58:42.172589 INFO::Fitting model to feature number 184, F193
## 2026-07-10 05:58:42.174959 INFO::Fitting model to feature number 185, F194
## 2026-07-10 05:58:42.17731 INFO::Fitting model to feature number 186, F195
## 2026-07-10 05:58:42.179673 INFO::Fitting model to feature number 187, F196
## 2026-07-10 05:58:42.182023 INFO::Fitting model to feature number 188, F197
## 2026-07-10 05:58:42.184391 INFO::Fitting model to feature number 189, F198
## 2026-07-10 05:58:42.186711 INFO::Fitting model to feature number 190, F199
## 2026-07-10 05:58:42.189041 INFO::Fitting model to feature number 191, F200
## 2026-07-10 05:58:42.191344 INFO::Fitting model to feature number 192, F201
## 2026-07-10 05:58:42.193655 INFO::Fitting model to feature number 193, F202
## 2026-07-10 05:58:42.196012 INFO::Fitting model to feature number 194, F203
## 2026-07-10 05:58:42.198341 INFO::Fitting model to feature number 195, F204
## 2026-07-10 05:58:42.200638 INFO::Fitting model to feature number 196, F206
## 2026-07-10 05:58:42.20296 INFO::Fitting model to feature number 197, F207
## 2026-07-10 05:58:42.20525 INFO::Fitting model to feature number 198, F208
## 2026-07-10 05:58:42.207539 INFO::Fitting model to feature number 199, F209
## 2026-07-10 05:58:42.209855 INFO::Fitting model to feature number 200, F210
## 2026-07-10 05:58:42.212208 INFO::Fitting model to feature number 201, F211
## 2026-07-10 05:58:42.214525 INFO::Fitting model to feature number 202, F212
## 2026-07-10 05:58:42.216873 INFO::Fitting model to feature number 203, F213
## 2026-07-10 05:58:42.219188 INFO::Fitting model to feature number 204, F214
## 2026-07-10 05:58:42.221485 INFO::Fitting model to feature number 205, F215
## 2026-07-10 05:58:42.223823 INFO::Fitting model to feature number 206, F216
## 2026-07-10 05:58:42.226137 INFO::Fitting model to feature number 207, F217
## 2026-07-10 05:58:42.228455 INFO::Fitting model to feature number 208, F218
## 2026-07-10 05:58:42.230837 INFO::Fitting model to feature number 209, F219
## 2026-07-10 05:58:42.233231 INFO::Fitting model to feature number 210, F220
## 2026-07-10 05:58:42.235557 INFO::Fitting model to feature number 211, F221
## 2026-07-10 05:58:42.237898 INFO::Fitting model to feature number 212, F222
## 2026-07-10 05:58:42.240197 INFO::Fitting model to feature number 213, F223
## 2026-07-10 05:58:42.242535 INFO::Fitting model to feature number 214, F224
## 2026-07-10 05:58:42.244864 INFO::Fitting model to feature number 215, F225
## 2026-07-10 05:58:42.247176 INFO::Fitting model to feature number 216, F226
## 2026-07-10 05:58:42.249482 INFO::Fitting model to feature number 217, F227
## 2026-07-10 05:58:42.251835 INFO::Fitting model to feature number 218, F228
## 2026-07-10 05:58:42.254173 INFO::Fitting model to feature number 219, F229
## 2026-07-10 05:58:42.256477 INFO::Fitting model to feature number 220, F230
## 2026-07-10 05:58:42.258801 INFO::Fitting model to feature number 221, F231
## 2026-07-10 05:58:42.261132 INFO::Fitting model to feature number 222, F232
## 2026-07-10 05:58:42.263416 INFO::Fitting model to feature number 223, F233
## 2026-07-10 05:58:42.265717 INFO::Fitting model to feature number 224, F234
## 2026-07-10 05:58:42.268053 INFO::Fitting model to feature number 225, F235
## 2026-07-10 05:58:42.270341 INFO::Fitting model to feature number 226, F236
## 2026-07-10 05:58:42.272642 INFO::Fitting model to feature number 227, F237
## 2026-07-10 05:58:42.27495 INFO::Fitting model to feature number 228, F238
## 2026-07-10 05:58:42.27727 INFO::Fitting model to feature number 229, F239
## 2026-07-10 05:58:42.27955 INFO::Fitting model to feature number 230, F240
## 2026-07-10 05:58:42.281865 INFO::Fitting model to feature number 231, F241
## 2026-07-10 05:58:42.284183 INFO::Fitting model to feature number 232, F242
## 2026-07-10 05:58:42.286481 INFO::Fitting model to feature number 233, F243
## 2026-07-10 05:58:42.288794 INFO::Fitting model to feature number 234, F244
## 2026-07-10 05:58:42.291091 INFO::Fitting model to feature number 235, F245
## 2026-07-10 05:58:42.293409 INFO::Fitting model to feature number 236, F246
## 2026-07-10 05:58:42.295698 INFO::Fitting model to feature number 237, F247
## 2026-07-10 05:58:42.298023 INFO::Fitting model to feature number 238, F248
## 2026-07-10 05:58:42.300318 INFO::Fitting model to feature number 239, F249
## 2026-07-10 05:58:42.302641 INFO::Fitting model to feature number 240, F250
## 2026-07-10 05:58:42.304961 INFO::Fitting model to feature number 241, F252
## 2026-07-10 05:58:42.307287 INFO::Fitting model to feature number 242, F253
## 2026-07-10 05:58:42.309604 INFO::Fitting model to feature number 243, F254
## 2026-07-10 05:58:42.31193 INFO::Fitting model to feature number 244, F255
## 2026-07-10 05:58:42.314232 INFO::Fitting model to feature number 245, F256
## 2026-07-10 05:58:42.316535 INFO::Fitting model to feature number 246, F257
## 2026-07-10 05:58:42.318891 INFO::Fitting model to feature number 247, F259
## 2026-07-10 05:58:42.32129 INFO::Fitting model to feature number 248, F260
## 2026-07-10 05:58:42.323681 INFO::Fitting model to feature number 249, F261
## 2026-07-10 05:58:42.326031 INFO::Fitting model to feature number 250, F262
## 2026-07-10 05:58:42.328357 INFO::Fitting model to feature number 251, F263
## 2026-07-10 05:58:42.330761 INFO::Fitting model to feature number 252, F264
## 2026-07-10 05:58:42.333089 INFO::Fitting model to feature number 253, F265
## 2026-07-10 05:58:42.335382 INFO::Fitting model to feature number 254, F266
## 2026-07-10 05:58:42.337678 INFO::Fitting model to feature number 255, F267
## 2026-07-10 05:58:42.340029 INFO::Fitting model to feature number 256, F269
## 2026-07-10 05:58:42.34232 INFO::Fitting model to feature number 257, F270
## 2026-07-10 05:58:42.344617 INFO::Fitting model to feature number 258, F271
## 2026-07-10 05:58:42.346934 INFO::Fitting model to feature number 259, F272
## 2026-07-10 05:58:42.34925 INFO::Fitting model to feature number 260, F273
## 2026-07-10 05:58:42.351531 INFO::Fitting model to feature number 261, F274
## 2026-07-10 05:58:42.353841 INFO::Fitting model to feature number 262, F276
## 2026-07-10 05:58:42.356131 INFO::Fitting model to feature number 263, F277
## 2026-07-10 05:58:42.358402 INFO::Fitting model to feature number 264, F278
## 2026-07-10 05:58:42.360705 INFO::Fitting model to feature number 265, F279
## 2026-07-10 05:58:42.363024 INFO::Fitting model to feature number 266, F280
## 2026-07-10 05:58:42.365346 INFO::Fitting model to feature number 267, F281
## 2026-07-10 05:58:42.367637 INFO::Fitting model to feature number 268, F282
## 2026-07-10 05:58:42.369975 INFO::Fitting model to feature number 269, F283
## 2026-07-10 05:58:42.372278 INFO::Fitting model to feature number 270, F284
## 2026-07-10 05:58:42.374575 INFO::Fitting model to feature number 271, F285
## 2026-07-10 05:58:42.376887 INFO::Fitting model to feature number 272, F286
## 2026-07-10 05:58:42.379184 INFO::Fitting model to feature number 273, F287
## 2026-07-10 05:58:42.381476 INFO::Fitting model to feature number 274, F288
## 2026-07-10 05:58:42.383821 INFO::Fitting model to feature number 275, F289
## 2026-07-10 05:58:42.386138 INFO::Fitting model to feature number 276, F290
## 2026-07-10 05:58:42.388444 INFO::Fitting model to feature number 277, F292
## 2026-07-10 05:58:42.390755 INFO::Fitting model to feature number 278, F293
## 2026-07-10 05:58:42.393083 INFO::Fitting model to feature number 279, F294
## 2026-07-10 05:58:42.395364 INFO::Fitting model to feature number 280, F295
## 2026-07-10 05:58:42.397651 INFO::Fitting model to feature number 281, F296
## 2026-07-10 05:58:42.399999 INFO::Fitting model to feature number 282, F297
## 2026-07-10 05:58:42.402317 INFO::Fitting model to feature number 283, F298
## 2026-07-10 05:58:42.404606 INFO::Fitting model to feature number 284, F299
## 2026-07-10 05:58:42.406938 INFO::Fitting model to feature number 285, F300
## 2026-07-10 05:58:42.409231 INFO::Fitting model to feature number 286, F301
## 2026-07-10 05:58:42.41152 INFO::Fitting model to feature number 287, F302
## 2026-07-10 05:58:42.413848 INFO::Fitting model to feature number 288, F303
## 2026-07-10 05:58:42.416145 INFO::Fitting model to feature number 289, F304
## 2026-07-10 05:58:42.418455 INFO::Fitting model to feature number 290, F305
## 2026-07-10 05:58:42.420783 INFO::Fitting model to feature number 291, F306
## 2026-07-10 05:58:42.423104 INFO::Fitting model to feature number 292, F307
## 2026-07-10 05:58:42.425425 INFO::Fitting model to feature number 293, F308
## 2026-07-10 05:58:42.427768 INFO::Fitting model to feature number 294, F309
## 2026-07-10 05:58:42.430071 INFO::Fitting model to feature number 295, F310
## 2026-07-10 05:58:42.432391 INFO::Fitting model to feature number 296, F311
## 2026-07-10 05:58:42.434748 INFO::Fitting model to feature number 297, F312
## 2026-07-10 05:58:42.437092 INFO::Fitting model to feature number 298, F313
## 2026-07-10 05:58:42.439497 INFO::Fitting model to feature number 299, F315
## 2026-07-10 05:58:42.442024 INFO::Fitting model to feature number 300, F316
## 2026-07-10 05:58:42.444518 INFO::Fitting model to feature number 301, F317
## 2026-07-10 05:58:42.446891 INFO::Fitting model to feature number 302, F318
## 2026-07-10 05:58:42.449289 INFO::Fitting model to feature number 303, F319
## 2026-07-10 05:58:42.451608 INFO::Fitting model to feature number 304, F320
## 2026-07-10 05:58:42.453952 INFO::Fitting model to feature number 305, F321
## 2026-07-10 05:58:42.456268 INFO::Fitting model to feature number 306, F322
## 2026-07-10 05:58:42.45857 INFO::Fitting model to feature number 307, F323
## 2026-07-10 05:58:42.460921 INFO::Fitting model to feature number 308, F324
## 2026-07-10 05:58:42.46323 INFO::Fitting model to feature number 309, F325
## 2026-07-10 05:58:42.465581 INFO::Fitting model to feature number 310, F326
## 2026-07-10 05:58:42.467971 INFO::Fitting model to feature number 311, F327
## 2026-07-10 05:58:42.470267 INFO::Fitting model to feature number 312, F328
## 2026-07-10 05:58:42.472577 INFO::Fitting model to feature number 313, F329
## 2026-07-10 05:58:42.474946 INFO::Fitting model to feature number 314, F330
## 2026-07-10 05:58:42.477251 INFO::Fitting model to feature number 315, F331
## 2026-07-10 05:58:42.479566 INFO::Fitting model to feature number 316, F332
## 2026-07-10 05:58:42.481919 INFO::Fitting model to feature number 317, F333
## 2026-07-10 05:58:42.48432 INFO::Fitting model to feature number 318, F334
## 2026-07-10 05:58:42.486821 INFO::Fitting model to feature number 319, F335
## 2026-07-10 05:58:42.489281 INFO::Fitting model to feature number 320, F336
## 2026-07-10 05:58:42.49177 INFO::Fitting model to feature number 321, F337
## 2026-07-10 05:58:42.494216 INFO::Fitting model to feature number 322, F338
## 2026-07-10 05:58:42.496693 INFO::Fitting model to feature number 323, F339
## 2026-07-10 05:58:42.499292 INFO::Fitting model to feature number 324, F340
## 2026-07-10 05:58:42.501755 INFO::Fitting model to feature number 325, F342
## 2026-07-10 05:58:42.504209 INFO::Fitting model to feature number 326, F343
## 2026-07-10 05:58:42.506639 INFO::Fitting model to feature number 327, F344
## 2026-07-10 05:58:42.509087 INFO::Fitting model to feature number 328, F345
## 2026-07-10 05:58:42.511535 INFO::Fitting model to feature number 329, F346
## 2026-07-10 05:58:42.514003 INFO::Fitting model to feature number 330, F347
## 2026-07-10 05:58:42.51651 INFO::Fitting model to feature number 331, F348
## 2026-07-10 05:58:42.519015 INFO::Fitting model to feature number 332, F350
## 2026-07-10 05:58:42.521457 INFO::Fitting model to feature number 333, F351
## 2026-07-10 05:58:42.52393 INFO::Fitting model to feature number 334, F352
## 2026-07-10 05:58:42.526382 INFO::Fitting model to feature number 335, F353
## 2026-07-10 05:58:42.541893 INFO::Fitting model to feature number 336, F355
## 2026-07-10 05:58:42.544637 INFO::Fitting model to feature number 337, F356
## 2026-07-10 05:58:42.547055 INFO::Fitting model to feature number 338, F357
## 2026-07-10 05:58:42.549422 INFO::Fitting model to feature number 339, F358
## 2026-07-10 05:58:42.551847 INFO::Fitting model to feature number 340, F359
## 2026-07-10 05:58:42.554211 INFO::Fitting model to feature number 341, F360
## 2026-07-10 05:58:42.556588 INFO::Fitting model to feature number 342, F361
## 2026-07-10 05:58:42.559022 INFO::Fitting model to feature number 343, F362
## 2026-07-10 05:58:42.561362 INFO::Fitting model to feature number 344, F363
## 2026-07-10 05:58:42.563717 INFO::Fitting model to feature number 345, F364
## 2026-07-10 05:58:42.566049 INFO::Fitting model to feature number 346, F365
## 2026-07-10 05:58:42.568371 INFO::Fitting model to feature number 347, F366
## 2026-07-10 05:58:42.570748 INFO::Fitting model to feature number 348, F367
## 2026-07-10 05:58:42.573075 INFO::Fitting model to feature number 349, F368
## 2026-07-10 05:58:42.575387 INFO::Fitting model to feature number 350, F369
## 2026-07-10 05:58:42.577689 INFO::Fitting model to feature number 351, F370
## 2026-07-10 05:58:42.580035 INFO::Fitting model to feature number 352, F371
## 2026-07-10 05:58:42.582485 INFO::Fitting model to feature number 353, F372
## 2026-07-10 05:58:42.58491 INFO::Fitting model to feature number 354, F373
## 2026-07-10 05:58:42.587321 INFO::Fitting model to feature number 355, F374
## 2026-07-10 05:58:42.589695 INFO::Fitting model to feature number 356, F375
## 2026-07-10 05:58:42.592064 INFO::Fitting model to feature number 357, F376
## 2026-07-10 05:58:42.594385 INFO::Fitting model to feature number 358, F377
## 2026-07-10 05:58:42.596675 INFO::Fitting model to feature number 359, F378
## 2026-07-10 05:58:42.599042 INFO::Fitting model to feature number 360, F379
## 2026-07-10 05:58:42.601362 INFO::Fitting model to feature number 361, F380
## 2026-07-10 05:58:42.6038 INFO::Fitting model to feature number 362, F381
## 2026-07-10 05:58:42.606224 INFO::Fitting model to feature number 363, F382
## 2026-07-10 05:58:42.608598 INFO::Fitting model to feature number 364, F383
## 2026-07-10 05:58:42.610986 INFO::Fitting model to feature number 365, F384
## 2026-07-10 05:58:42.613438 INFO::Fitting model to feature number 366, F386
## 2026-07-10 05:58:42.615966 INFO::Fitting model to feature number 367, F387
## 2026-07-10 05:58:42.618336 INFO::Fitting model to feature number 368, F388
## 2026-07-10 05:58:42.620703 INFO::Fitting model to feature number 369, F389
## 2026-07-10 05:58:42.623089 INFO::Fitting model to feature number 370, F390
## 2026-07-10 05:58:42.625395 INFO::Fitting model to feature number 371, F391
## 2026-07-10 05:58:42.627704 INFO::Fitting model to feature number 372, F392
## 2026-07-10 05:58:42.630052 INFO::Fitting model to feature number 373, F393
## 2026-07-10 05:58:42.632376 INFO::Fitting model to feature number 374, F394
## 2026-07-10 05:58:42.634715 INFO::Fitting model to feature number 375, F395
## 2026-07-10 05:58:42.637089 INFO::Fitting model to feature number 376, F396
## 2026-07-10 05:58:42.639423 INFO::Fitting model to feature number 377, F397
## 2026-07-10 05:58:42.641814 INFO::Fitting model to feature number 378, F398
## 2026-07-10 05:58:42.644144 INFO::Fitting model to feature number 379, F399
## 2026-07-10 05:58:42.646491 INFO::Fitting model to feature number 380, F400
## 2026-07-10 05:58:42.648906 INFO::Fitting model to feature number 381, F401
## 2026-07-10 05:58:42.651222 INFO::Fitting model to feature number 382, F402
## 2026-07-10 05:58:42.653527 INFO::Fitting model to feature number 383, F403
## 2026-07-10 05:58:42.655917 INFO::Fitting model to feature number 384, F404
## 2026-07-10 05:58:42.658233 INFO::Fitting model to feature number 385, F406
## 2026-07-10 05:58:42.660539 INFO::Fitting model to feature number 386, F407
## 2026-07-10 05:58:42.662878 INFO::Fitting model to feature number 387, F408
## 2026-07-10 05:58:42.665193 INFO::Fitting model to feature number 388, F409
## 2026-07-10 05:58:42.667493 INFO::Fitting model to feature number 389, F410
## 2026-07-10 05:58:42.669798 INFO::Fitting model to feature number 390, F411
## 2026-07-10 05:58:42.672083 INFO::Fitting model to feature number 391, F412
## 2026-07-10 05:58:42.674391 INFO::Fitting model to feature number 392, F413
## 2026-07-10 05:58:42.676674 INFO::Fitting model to feature number 393, F414
## 2026-07-10 05:58:42.67903 INFO::Fitting model to feature number 394, F415
## 2026-07-10 05:58:42.681308 INFO::Fitting model to feature number 395, F417
## 2026-07-10 05:58:42.683631 INFO::Fitting model to feature number 396, F418
## 2026-07-10 05:58:42.685964 INFO::Fitting model to feature number 397, F419
## 2026-07-10 05:58:42.688257 INFO::Fitting model to feature number 398, F420
## 2026-07-10 05:58:42.690534 INFO::Fitting model to feature number 399, F421
## 2026-07-10 05:58:42.692832 INFO::Fitting model to feature number 400, F422
## 2026-07-10 05:58:42.695096 INFO::Fitting model to feature number 401, F423
## 2026-07-10 05:58:42.697368 INFO::Fitting model to feature number 402, F425
## 2026-07-10 05:58:42.699693 INFO::Fitting model to feature number 403, F426
## 2026-07-10 05:58:42.702 INFO::Fitting model to feature number 404, F428
## 2026-07-10 05:58:42.704271 INFO::Fitting model to feature number 405, F429
## 2026-07-10 05:58:42.706536 INFO::Fitting model to feature number 406, F430
## 2026-07-10 05:58:42.708866 INFO::Fitting model to feature number 407, F431
## 2026-07-10 05:58:42.711163 INFO::Fitting model to feature number 408, F432
## 2026-07-10 05:58:42.713494 INFO::Fitting model to feature number 409, F433
## 2026-07-10 05:58:42.715809 INFO::Fitting model to feature number 410, F434
## 2026-07-10 05:58:42.718099 INFO::Fitting model to feature number 411, F435
## 2026-07-10 05:58:42.720387 INFO::Fitting model to feature number 412, F436
## 2026-07-10 05:58:42.722694 INFO::Fitting model to feature number 413, F437
## 2026-07-10 05:58:42.725058 INFO::Fitting model to feature number 414, F438
## 2026-07-10 05:58:42.727419 INFO::Fitting model to feature number 415, F439
## 2026-07-10 05:58:42.729821 INFO::Fitting model to feature number 416, F440
## 2026-07-10 05:58:42.732157 INFO::Fitting model to feature number 417, F441
## 2026-07-10 05:58:42.734504 INFO::Fitting model to feature number 418, F442
## 2026-07-10 05:58:42.736818 INFO::Fitting model to feature number 419, F443
## 2026-07-10 05:58:42.739101 INFO::Fitting model to feature number 420, F444
## 2026-07-10 05:58:42.741381 INFO::Fitting model to feature number 421, F445
## 2026-07-10 05:58:42.743676 INFO::Fitting model to feature number 422, F446
## 2026-07-10 05:58:42.746025 INFO::Fitting model to feature number 423, F447
## 2026-07-10 05:58:42.748296 INFO::Fitting model to feature number 424, F448
## 2026-07-10 05:58:42.750576 INFO::Fitting model to feature number 425, F449
## 2026-07-10 05:58:42.75288 INFO::Fitting model to feature number 426, F450
## 2026-07-10 05:58:42.755174 INFO::Fitting model to feature number 427, F451
## 2026-07-10 05:58:42.757469 INFO::Fitting model to feature number 428, F452
## 2026-07-10 05:58:42.759803 INFO::Fitting model to feature number 429, F454
## 2026-07-10 05:58:42.762086 INFO::Fitting model to feature number 430, F455
## 2026-07-10 05:58:42.764368 INFO::Fitting model to feature number 431, F456
## 2026-07-10 05:58:42.766639 INFO::Fitting model to feature number 432, F457
## 2026-07-10 05:58:42.768975 INFO::Fitting model to feature number 433, F458
## 2026-07-10 05:58:42.77131 INFO::Fitting model to feature number 434, F459
## 2026-07-10 05:58:42.773629 INFO::Fitting model to feature number 435, F461
## 2026-07-10 05:58:42.775983 INFO::Fitting model to feature number 436, F462
## 2026-07-10 05:58:42.778304 INFO::Fitting model to feature number 437, F463
## 2026-07-10 05:58:42.780633 INFO::Fitting model to feature number 438, F464
## 2026-07-10 05:58:42.782957 INFO::Fitting model to feature number 439, F465
## 2026-07-10 05:58:42.78527 INFO::Fitting model to feature number 440, F466
## 2026-07-10 05:58:42.787592 INFO::Fitting model to feature number 441, F467
## 2026-07-10 05:58:42.789936 INFO::Fitting model to feature number 442, F468
## 2026-07-10 05:58:42.792274 INFO::Fitting model to feature number 443, F469
## 2026-07-10 05:58:42.794623 INFO::Fitting model to feature number 444, F470
## 2026-07-10 05:58:42.797023 INFO::Fitting model to feature number 445, F471
## 2026-07-10 05:58:42.799348 INFO::Fitting model to feature number 446, F474
## 2026-07-10 05:58:42.801638 INFO::Fitting model to feature number 447, F475
## 2026-07-10 05:58:42.803994 INFO::Fitting model to feature number 448, F476
## 2026-07-10 05:58:42.806294 INFO::Fitting model to feature number 449, F477
## 2026-07-10 05:58:42.808604 INFO::Fitting model to feature number 450, F478
## 2026-07-10 05:58:42.810962 INFO::Fitting model to feature number 451, F479
## 2026-07-10 05:58:42.813345 INFO::Fitting model to feature number 452, F480
## 2026-07-10 05:58:42.815648 INFO::Fitting model to feature number 453, F481
## 2026-07-10 05:58:42.818071 INFO::Fitting model to feature number 454, F482
## 2026-07-10 05:58:42.820375 INFO::Fitting model to feature number 455, F483
## 2026-07-10 05:58:42.822708 INFO::Fitting model to feature number 456, F484
## 2026-07-10 05:58:42.825056 INFO::Fitting model to feature number 457, F485
## 2026-07-10 05:58:42.827378 INFO::Fitting model to feature number 458, F486
## 2026-07-10 05:58:42.829753 INFO::Fitting model to feature number 459, F487
## 2026-07-10 05:58:42.832149 INFO::Fitting model to feature number 460, F488
## 2026-07-10 05:58:42.834526 INFO::Fitting model to feature number 461, F489
## 2026-07-10 05:58:42.836913 INFO::Fitting model to feature number 462, F490
## 2026-07-10 05:58:42.839273 INFO::Fitting model to feature number 463, F491
## 2026-07-10 05:58:42.841606 INFO::Fitting model to feature number 464, F492
## 2026-07-10 05:58:42.843966 INFO::Fitting model to feature number 465, F493
## 2026-07-10 05:58:42.846313 INFO::Fitting model to feature number 466, F494
## 2026-07-10 05:58:42.848668 INFO::Fitting model to feature number 467, F495
## 2026-07-10 05:58:42.85101 INFO::Fitting model to feature number 468, F496
## 2026-07-10 05:58:42.853323 INFO::Fitting model to feature number 469, F497
## 2026-07-10 05:58:42.855668 INFO::Fitting model to feature number 470, F498
## 2026-07-10 05:58:42.858018 INFO::Fitting model to feature number 471, F499
## 2026-07-10 05:58:42.860323 INFO::Fitting model to feature number 472, F500
## 2026-07-10 05:58:42.862643 INFO::Fitting model to feature number 473, F501
## 2026-07-10 05:58:42.864973 INFO::Fitting model to feature number 474, F502
## 2026-07-10 05:58:42.86729 INFO::Fitting model to feature number 475, F503
## 2026-07-10 05:58:42.869665 INFO::Fitting model to feature number 476, F504
## 2026-07-10 05:58:42.872032 INFO::Fitting model to feature number 477, F505
## 2026-07-10 05:58:42.874347 INFO::Fitting model to feature number 478, F506
## 2026-07-10 05:58:42.8767 INFO::Fitting model to feature number 479, F507
## 2026-07-10 05:58:42.879079 INFO::Fitting model to feature number 480, F508
## 2026-07-10 05:58:42.881408 INFO::Fitting model to feature number 481, F509
## 2026-07-10 05:58:42.883784 INFO::Fitting model to feature number 482, F510
## 2026-07-10 05:58:42.886186 INFO::Fitting model to feature number 483, F511
## 2026-07-10 05:58:42.88853 INFO::Fitting model to feature number 484, F512
## 2026-07-10 05:58:42.890939 INFO::Fitting model to feature number 485, F513
## 2026-07-10 05:58:42.893238 INFO::Fitting model to feature number 486, F514
## 2026-07-10 05:58:42.895581 INFO::Fitting model to feature number 487, F515
## 2026-07-10 05:58:42.89793 INFO::Fitting model to feature number 488, F516
## 2026-07-10 05:58:42.900249 INFO::Fitting model to feature number 489, F517
## 2026-07-10 05:58:42.902614 INFO::Fitting model to feature number 490, F518
## 2026-07-10 05:58:42.904977 INFO::Fitting model to feature number 491, F519
## 2026-07-10 05:58:42.907294 INFO::Fitting model to feature number 492, F520
## 2026-07-10 05:58:42.909589 INFO::Fitting model to feature number 493, F521
## 2026-07-10 05:58:42.911998 INFO::Fitting model to feature number 494, F522
## 2026-07-10 05:58:42.914335 INFO::Fitting model to feature number 495, F523
## 2026-07-10 05:58:42.916638 INFO::Fitting model to feature number 496, F524
## 2026-07-10 05:58:42.918989 INFO::Fitting model to feature number 497, F525
## 2026-07-10 05:58:42.921289 INFO::Fitting model to feature number 498, F526
## 2026-07-10 05:58:42.923576 INFO::Fitting model to feature number 499, F527
## 2026-07-10 05:58:42.9259 INFO::Fitting model to feature number 500, F528
## 2026-07-10 05:58:42.928192 INFO::Fitting model to feature number 501, F529
## 2026-07-10 05:58:42.930492 INFO::Fitting model to feature number 502, F530
## 2026-07-10 05:58:42.932858 INFO::Fitting model to feature number 503, F531
## 2026-07-10 05:58:42.935218 INFO::Fitting model to feature number 504, F532
## 2026-07-10 05:58:42.937537 INFO::Fitting model to feature number 505, F533
## 2026-07-10 05:58:42.939909 INFO::Fitting model to feature number 506, F534
## 2026-07-10 05:58:42.942291 INFO::Fitting model to feature number 507, F535
## 2026-07-10 05:58:42.944698 INFO::Fitting model to feature number 508, F536
## 2026-07-10 05:58:42.94724 INFO::Fitting model to feature number 509, F537
## 2026-07-10 05:58:42.949873 INFO::Fitting model to feature number 510, F539
## 2026-07-10 05:58:42.952268 INFO::Fitting model to feature number 511, F540
## 2026-07-10 05:58:42.954597 INFO::Fitting model to feature number 512, F541
## 2026-07-10 05:58:42.956956 INFO::Fitting model to feature number 513, F543
## 2026-07-10 05:58:42.959299 INFO::Fitting model to feature number 514, F544
## 2026-07-10 05:58:42.961656 INFO::Fitting model to feature number 515, F545
## 2026-07-10 05:58:42.964103 INFO::Fitting model to feature number 516, F546
## 2026-07-10 05:58:42.966506 INFO::Fitting model to feature number 517, F547
## 2026-07-10 05:58:42.968857 INFO::Fitting model to feature number 518, F548
## 2026-07-10 05:58:42.971178 INFO::Fitting model to feature number 519, F549
## 2026-07-10 05:58:42.973528 INFO::Fitting model to feature number 520, F550
## 2026-07-10 05:58:42.975865 INFO::Fitting model to feature number 521, F551
## 2026-07-10 05:58:42.978194 INFO::Fitting model to feature number 522, F552
## 2026-07-10 05:58:42.980521 INFO::Fitting model to feature number 523, F553
## 2026-07-10 05:58:42.982852 INFO::Fitting model to feature number 524, F554
## 2026-07-10 05:58:42.98519 INFO::Fitting model to feature number 525, F555
## 2026-07-10 05:58:42.987518 INFO::Fitting model to feature number 526, F556
## 2026-07-10 05:58:42.989903 INFO::Fitting model to feature number 527, F557
## 2026-07-10 05:58:42.992218 INFO::Fitting model to feature number 528, F558
## 2026-07-10 05:58:42.994525 INFO::Fitting model to feature number 529, F559
## 2026-07-10 05:58:42.996899 INFO::Fitting model to feature number 530, F560
## 2026-07-10 05:58:42.999197 INFO::Fitting model to feature number 531, F561
## 2026-07-10 05:58:43.00149 INFO::Fitting model to feature number 532, F562
## 2026-07-10 05:58:43.003868 INFO::Fitting model to feature number 533, F563
## 2026-07-10 05:58:43.006161 INFO::Fitting model to feature number 534, F564
## 2026-07-10 05:58:43.008476 INFO::Fitting model to feature number 535, F566
## 2026-07-10 05:58:43.010848 INFO::Fitting model to feature number 536, F567
## 2026-07-10 05:58:43.013162 INFO::Fitting model to feature number 537, F568
## 2026-07-10 05:58:43.015483 INFO::Fitting model to feature number 538, F569
## 2026-07-10 05:58:43.017828 INFO::Fitting model to feature number 539, F570
## 2026-07-10 05:58:43.020131 INFO::Fitting model to feature number 540, F571
## 2026-07-10 05:58:43.022479 INFO::Fitting model to feature number 541, F572
## 2026-07-10 05:58:43.024839 INFO::Fitting model to feature number 542, F573
## 2026-07-10 05:58:43.027167 INFO::Fitting model to feature number 543, F574
## 2026-07-10 05:58:43.02949 INFO::Fitting model to feature number 544, F575
## 2026-07-10 05:58:43.031865 INFO::Fitting model to feature number 545, F576
## 2026-07-10 05:58:43.03419 INFO::Fitting model to feature number 546, F578
## 2026-07-10 05:58:43.036515 INFO::Fitting model to feature number 547, F579
## 2026-07-10 05:58:43.038865 INFO::Fitting model to feature number 548, F580
## 2026-07-10 05:58:43.041189 INFO::Fitting model to feature number 549, F581
## 2026-07-10 05:58:43.043561 INFO::Fitting model to feature number 550, F582
## 2026-07-10 05:58:43.045943 INFO::Fitting model to feature number 551, F583
## 2026-07-10 05:58:43.048295 INFO::Fitting model to feature number 552, F584
## 2026-07-10 05:58:43.050754 INFO::Fitting model to feature number 553, F585
## 2026-07-10 05:58:43.053109 INFO::Fitting model to feature number 554, F586
## 2026-07-10 05:58:43.055453 INFO::Fitting model to feature number 555, F587
## 2026-07-10 05:58:43.057891 INFO::Fitting model to feature number 556, F588
## 2026-07-10 05:58:43.060306 INFO::Fitting model to feature number 557, F589
## 2026-07-10 05:58:43.062715 INFO::Fitting model to feature number 558, F590
## 2026-07-10 05:58:43.065094 INFO::Fitting model to feature number 559, F591
## 2026-07-10 05:58:43.067462 INFO::Fitting model to feature number 560, F592
## 2026-07-10 05:58:43.069856 INFO::Fitting model to feature number 561, F593
## 2026-07-10 05:58:43.072184 INFO::Fitting model to feature number 562, F594
## 2026-07-10 05:58:43.074541 INFO::Fitting model to feature number 563, F595
## 2026-07-10 05:58:43.07691 INFO::Fitting model to feature number 564, F596
## 2026-07-10 05:58:43.079234 INFO::Fitting model to feature number 565, F597
## 2026-07-10 05:58:43.081556 INFO::Fitting model to feature number 566, F598
## 2026-07-10 05:58:43.083902 INFO::Fitting model to feature number 567, F599
## 2026-07-10 05:58:43.086325 INFO::Fitting model to feature number 568, F600
## 2026-07-10 05:58:43.088676 INFO::Fitting model to feature number 569, F601
## 2026-07-10 05:58:43.091055 INFO::Fitting model to feature number 570, F602
## 2026-07-10 05:58:43.093372 INFO::Fitting model to feature number 571, F603
## 2026-07-10 05:58:43.095713 INFO::Fitting model to feature number 572, F605
## 2026-07-10 05:58:43.098114 INFO::Fitting model to feature number 573, F606
## 2026-07-10 05:58:43.100435 INFO::Fitting model to feature number 574, F607
## 2026-07-10 05:58:43.102783 INFO::Fitting model to feature number 575, F608
## 2026-07-10 05:58:43.105109 INFO::Fitting model to feature number 576, F609
## 2026-07-10 05:58:43.107429 INFO::Fitting model to feature number 577, F610
## 2026-07-10 05:58:43.109759 INFO::Fitting model to feature number 578, F611
## 2026-07-10 05:58:43.112079 INFO::Fitting model to feature number 579, F612
## 2026-07-10 05:58:43.114401 INFO::Fitting model to feature number 580, F613
## 2026-07-10 05:58:43.116754 INFO::Fitting model to feature number 581, F614
## 2026-07-10 05:58:43.119073 INFO::Fitting model to feature number 582, F615
## 2026-07-10 05:58:43.121413 INFO::Fitting model to feature number 583, F616
## 2026-07-10 05:58:43.123757 INFO::Fitting model to feature number 584, F617
## 2026-07-10 05:58:43.126078 INFO::Fitting model to feature number 585, F618
## 2026-07-10 05:58:43.1284 INFO::Fitting model to feature number 586, F619
## 2026-07-10 05:58:43.130716 INFO::Fitting model to feature number 587, F620
## 2026-07-10 05:58:43.133055 INFO::Fitting model to feature number 588, F621
## 2026-07-10 05:58:43.135376 INFO::Fitting model to feature number 589, F622
## 2026-07-10 05:58:43.137687 INFO::Fitting model to feature number 590, F623
## 2026-07-10 05:58:43.140065 INFO::Fitting model to feature number 591, F624
## 2026-07-10 05:58:43.142365 INFO::Fitting model to feature number 592, F625
## 2026-07-10 05:58:43.144675 INFO::Fitting model to feature number 593, F626
## 2026-07-10 05:58:43.147021 INFO::Fitting model to feature number 594, F627
## 2026-07-10 05:58:43.149457 INFO::Fitting model to feature number 595, F628
## 2026-07-10 05:58:43.164866 INFO::Fitting model to feature number 596, F630
## 2026-07-10 05:58:43.167682 INFO::Fitting model to feature number 597, F631
## 2026-07-10 05:58:43.170197 INFO::Fitting model to feature number 598, F632
## 2026-07-10 05:58:43.172606 INFO::Fitting model to feature number 599, F633
## 2026-07-10 05:58:43.175001 INFO::Fitting model to feature number 600, F634
## 2026-07-10 05:58:43.177357 INFO::Fitting model to feature number 601, F635
## 2026-07-10 05:58:43.179772 INFO::Fitting model to feature number 602, F636
## 2026-07-10 05:58:43.18214 INFO::Fitting model to feature number 603, F637
## 2026-07-10 05:58:43.184497 INFO::Fitting model to feature number 604, F638
## 2026-07-10 05:58:43.186891 INFO::Fitting model to feature number 605, F639
## 2026-07-10 05:58:43.189217 INFO::Fitting model to feature number 606, F640
## 2026-07-10 05:58:43.191537 INFO::Fitting model to feature number 607, F641
## 2026-07-10 05:58:43.193887 INFO::Fitting model to feature number 608, F642
## 2026-07-10 05:58:43.196203 INFO::Fitting model to feature number 609, F643
## 2026-07-10 05:58:43.198518 INFO::Fitting model to feature number 610, F644
## 2026-07-10 05:58:43.200843 INFO::Fitting model to feature number 611, F645
## 2026-07-10 05:58:43.203156 INFO::Fitting model to feature number 612, F646
## 2026-07-10 05:58:43.205493 INFO::Fitting model to feature number 613, F647
## 2026-07-10 05:58:43.207869 INFO::Fitting model to feature number 614, F648
## 2026-07-10 05:58:43.210215 INFO::Fitting model to feature number 615, F649
## 2026-07-10 05:58:43.212552 INFO::Fitting model to feature number 616, F650
## 2026-07-10 05:58:43.214917 INFO::Fitting model to feature number 617, F651
## 2026-07-10 05:58:43.217233 INFO::Fitting model to feature number 618, F652
## 2026-07-10 05:58:43.219537 INFO::Fitting model to feature number 619, F653
## 2026-07-10 05:58:43.221883 INFO::Fitting model to feature number 620, F654
## 2026-07-10 05:58:43.224179 INFO::Fitting model to feature number 621, F655
## 2026-07-10 05:58:43.226522 INFO::Fitting model to feature number 622, F656
## 2026-07-10 05:58:43.228965 INFO::Fitting model to feature number 623, F657
## 2026-07-10 05:58:43.231364 INFO::Fitting model to feature number 624, F658
## 2026-07-10 05:58:43.233769 INFO::Fitting model to feature number 625, F659
## 2026-07-10 05:58:43.236228 INFO::Fitting model to feature number 626, F660
## 2026-07-10 05:58:43.238675 INFO::Fitting model to feature number 627, F661
## 2026-07-10 05:58:43.241034 INFO::Fitting model to feature number 628, F662
## 2026-07-10 05:58:43.243396 INFO::Fitting model to feature number 629, F663
## 2026-07-10 05:58:43.245763 INFO::Fitting model to feature number 630, F664
## 2026-07-10 05:58:43.248073 INFO::Fitting model to feature number 631, F665
## 2026-07-10 05:58:43.250369 INFO::Fitting model to feature number 632, F666
## 2026-07-10 05:58:43.252668 INFO::Fitting model to feature number 633, F667
## 2026-07-10 05:58:43.255028 INFO::Fitting model to feature number 634, F668
## 2026-07-10 05:58:43.257344 INFO::Fitting model to feature number 635, F669
## 2026-07-10 05:58:43.25967 INFO::Fitting model to feature number 636, F670
## 2026-07-10 05:58:43.262022 INFO::Fitting model to feature number 637, F671
## 2026-07-10 05:58:43.26436 INFO::Fitting model to feature number 638, F673
## 2026-07-10 05:58:43.266676 INFO::Fitting model to feature number 639, F674
## 2026-07-10 05:58:43.269036 INFO::Fitting model to feature number 640, F675
## 2026-07-10 05:58:43.271343 INFO::Fitting model to feature number 641, F676
## 2026-07-10 05:58:43.273638 INFO::Fitting model to feature number 642, F677
## 2026-07-10 05:58:43.275984 INFO::Fitting model to feature number 643, F678
## 2026-07-10 05:58:43.278294 INFO::Fitting model to feature number 644, F679
## 2026-07-10 05:58:43.280603 INFO::Fitting model to feature number 645, F680
## 2026-07-10 05:58:43.282929 INFO::Fitting model to feature number 646, F681
## 2026-07-10 05:58:43.285251 INFO::Fitting model to feature number 647, F682
## 2026-07-10 05:58:43.287577 INFO::Fitting model to feature number 648, F683
## 2026-07-10 05:58:43.289927 INFO::Fitting model to feature number 649, F684
## 2026-07-10 05:58:43.292225 INFO::Fitting model to feature number 650, F685
## 2026-07-10 05:58:43.294513 INFO::Fitting model to feature number 651, F686
## 2026-07-10 05:58:43.296846 INFO::Fitting model to feature number 652, F687
## 2026-07-10 05:58:43.299156 INFO::Fitting model to feature number 653, F688
## 2026-07-10 05:58:43.301543 INFO::Fitting model to feature number 654, F689
## 2026-07-10 05:58:43.303871 INFO::Fitting model to feature number 655, F690
## 2026-07-10 05:58:43.306175 INFO::Fitting model to feature number 656, F691
## 2026-07-10 05:58:43.308486 INFO::Fitting model to feature number 657, F692
## 2026-07-10 05:58:43.310793 INFO::Fitting model to feature number 658, F693
## 2026-07-10 05:58:43.313078 INFO::Fitting model to feature number 659, F694
## 2026-07-10 05:58:43.315368 INFO::Fitting model to feature number 660, F695
## 2026-07-10 05:58:43.317712 INFO::Fitting model to feature number 661, F696
## 2026-07-10 05:58:43.320072 INFO::Fitting model to feature number 662, F697
## 2026-07-10 05:58:43.322394 INFO::Fitting model to feature number 663, F698
## 2026-07-10 05:58:43.324761 INFO::Fitting model to feature number 664, F699
## 2026-07-10 05:58:43.327056 INFO::Fitting model to feature number 665, F700
## 2026-07-10 05:58:43.329335 INFO::Fitting model to feature number 666, F701
## 2026-07-10 05:58:43.331673 INFO::Fitting model to feature number 667, F702
## 2026-07-10 05:58:43.334013 INFO::Fitting model to feature number 668, F704
## 2026-07-10 05:58:43.336304 INFO::Fitting model to feature number 669, F705
## 2026-07-10 05:58:43.338582 INFO::Fitting model to feature number 670, F706
## 2026-07-10 05:58:43.34089 INFO::Fitting model to feature number 671, F707
## 2026-07-10 05:58:43.343192 INFO::Fitting model to feature number 672, F708
## 2026-07-10 05:58:43.345473 INFO::Fitting model to feature number 673, F709
## 2026-07-10 05:58:43.347779 INFO::Fitting model to feature number 674, F710
## 2026-07-10 05:58:43.350061 INFO::Fitting model to feature number 675, F711
## 2026-07-10 05:58:43.352359 INFO::Fitting model to feature number 676, F712
## 2026-07-10 05:58:43.35464 INFO::Fitting model to feature number 677, F713
## 2026-07-10 05:58:43.356944 INFO::Fitting model to feature number 678, F714
## 2026-07-10 05:58:43.35922 INFO::Fitting model to feature number 679, F715
## 2026-07-10 05:58:43.3615 INFO::Fitting model to feature number 680, F716
## 2026-07-10 05:58:43.363848 INFO::Fitting model to feature number 681, F717
## 2026-07-10 05:58:43.366144 INFO::Fitting model to feature number 682, F718
## 2026-07-10 05:58:43.368408 INFO::Fitting model to feature number 683, F719
## 2026-07-10 05:58:43.370692 INFO::Fitting model to feature number 684, F720
## 2026-07-10 05:58:43.372998 INFO::Fitting model to feature number 685, F721
## 2026-07-10 05:58:43.375269 INFO::Fitting model to feature number 686, F722
## 2026-07-10 05:58:43.37754 INFO::Fitting model to feature number 687, F723
## 2026-07-10 05:58:43.379881 INFO::Fitting model to feature number 688, F724
## 2026-07-10 05:58:43.382142 INFO::Fitting model to feature number 689, F725
## 2026-07-10 05:58:43.384412 INFO::Fitting model to feature number 690, F726
## 2026-07-10 05:58:43.386718 INFO::Fitting model to feature number 691, F727
## 2026-07-10 05:58:43.389027 INFO::Fitting model to feature number 692, F728
## 2026-07-10 05:58:43.391331 INFO::Fitting model to feature number 693, F729
## 2026-07-10 05:58:43.393659 INFO::Fitting model to feature number 694, F730
## 2026-07-10 05:58:43.396044 INFO::Fitting model to feature number 695, F731
## 2026-07-10 05:58:43.398406 INFO::Fitting model to feature number 696, F732
## 2026-07-10 05:58:43.400703 INFO::Fitting model to feature number 697, F733
## 2026-07-10 05:58:43.403038 INFO::Fitting model to feature number 698, F734
## 2026-07-10 05:58:43.405342 INFO::Fitting model to feature number 699, F735
## 2026-07-10 05:58:43.407664 INFO::Fitting model to feature number 700, F736
## 2026-07-10 05:58:43.410019 INFO::Fitting model to feature number 701, F737
## 2026-07-10 05:58:43.412368 INFO::Fitting model to feature number 702, F739
## 2026-07-10 05:58:43.414695 INFO::Fitting model to feature number 703, F740
## 2026-07-10 05:58:43.417068 INFO::Fitting model to feature number 704, F741
## 2026-07-10 05:58:43.419381 INFO::Fitting model to feature number 705, F742
## 2026-07-10 05:58:43.421686 INFO::Fitting model to feature number 706, F743
## 2026-07-10 05:58:43.423999 INFO::Fitting model to feature number 707, F745
## 2026-07-10 05:58:43.42631 INFO::Fitting model to feature number 708, F746
## 2026-07-10 05:58:43.428608 INFO::Fitting model to feature number 709, F747
## 2026-07-10 05:58:43.430953 INFO::Fitting model to feature number 710, F748
## 2026-07-10 05:58:43.433266 INFO::Fitting model to feature number 711, F749
## 2026-07-10 05:58:43.435564 INFO::Fitting model to feature number 712, F750
## 2026-07-10 05:58:43.437918 INFO::Fitting model to feature number 713, F751
## 2026-07-10 05:58:43.440275 INFO::Fitting model to feature number 714, F752
## 2026-07-10 05:58:43.442594 INFO::Fitting model to feature number 715, F753
## 2026-07-10 05:58:43.444942 INFO::Fitting model to feature number 716, F755
## 2026-07-10 05:58:43.447265 INFO::Fitting model to feature number 717, F756
## 2026-07-10 05:58:43.449571 INFO::Fitting model to feature number 718, F757
## 2026-07-10 05:58:43.45193 INFO::Fitting model to feature number 719, F758
## 2026-07-10 05:58:43.454276 INFO::Fitting model to feature number 720, F759
## 2026-07-10 05:58:43.456597 INFO::Fitting model to feature number 721, F760
## 2026-07-10 05:58:43.458951 INFO::Fitting model to feature number 722, F761
## 2026-07-10 05:58:43.461264 INFO::Fitting model to feature number 723, F762
## 2026-07-10 05:58:43.463607 INFO::Fitting model to feature number 724, F763
## 2026-07-10 05:58:43.465936 INFO::Fitting model to feature number 725, F764
## 2026-07-10 05:58:43.46824 INFO::Fitting model to feature number 726, F765
## 2026-07-10 05:58:43.470577 INFO::Fitting model to feature number 727, F766
## 2026-07-10 05:58:43.472934 INFO::Fitting model to feature number 728, F767
## 2026-07-10 05:58:43.47524 INFO::Fitting model to feature number 729, F768
## 2026-07-10 05:58:43.47755 INFO::Fitting model to feature number 730, F769
## 2026-07-10 05:58:43.479904 INFO::Fitting model to feature number 731, F770
## 2026-07-10 05:58:43.482219 INFO::Fitting model to feature number 732, F771
## 2026-07-10 05:58:43.484579 INFO::Fitting model to feature number 733, F772
## 2026-07-10 05:58:43.486964 INFO::Fitting model to feature number 734, F773
## 2026-07-10 05:58:43.489312 INFO::Fitting model to feature number 735, F774
## 2026-07-10 05:58:43.491706 INFO::Fitting model to feature number 736, F775
## 2026-07-10 05:58:43.494065 INFO::Fitting model to feature number 737, F776
## 2026-07-10 05:58:43.496406 INFO::Fitting model to feature number 738, F777
## 2026-07-10 05:58:43.498763 INFO::Fitting model to feature number 739, F778
## 2026-07-10 05:58:43.501069 INFO::Fitting model to feature number 740, F779
## 2026-07-10 05:58:43.503382 INFO::Fitting model to feature number 741, F780
## 2026-07-10 05:58:43.505686 INFO::Fitting model to feature number 742, F781
## 2026-07-10 05:58:43.508022 INFO::Fitting model to feature number 743, F782
## 2026-07-10 05:58:43.510356 INFO::Fitting model to feature number 744, F783
## 2026-07-10 05:58:43.512711 INFO::Fitting model to feature number 745, F784
## 2026-07-10 05:58:43.515051 INFO::Fitting model to feature number 746, F785
## 2026-07-10 05:58:43.517346 INFO::Fitting model to feature number 747, F786
## 2026-07-10 05:58:43.51966 INFO::Fitting model to feature number 748, F787
## 2026-07-10 05:58:43.522054 INFO::Fitting model to feature number 749, F788
## 2026-07-10 05:58:43.524393 INFO::Fitting model to feature number 750, F789
## 2026-07-10 05:58:43.526719 INFO::Fitting model to feature number 751, F790
## 2026-07-10 05:58:43.529081 INFO::Fitting model to feature number 752, F791
## 2026-07-10 05:58:43.531372 INFO::Fitting model to feature number 753, F792
## 2026-07-10 05:58:43.533687 INFO::Fitting model to feature number 754, F793
## 2026-07-10 05:58:43.53606 INFO::Fitting model to feature number 755, F794
## 2026-07-10 05:58:43.53837 INFO::Fitting model to feature number 756, F795
## 2026-07-10 05:58:43.540683 INFO::Fitting model to feature number 757, F796
## 2026-07-10 05:58:43.543044 INFO::Fitting model to feature number 758, F797
## 2026-07-10 05:58:43.545362 INFO::Fitting model to feature number 759, F798
## 2026-07-10 05:58:43.547688 INFO::Fitting model to feature number 760, F799
## 2026-07-10 05:58:43.550032 INFO::Fitting model to feature number 761, F800
## 2026-07-10 05:58:43.552349 INFO::Fitting model to feature number 762, F801
## 2026-07-10 05:58:43.55467 INFO::Fitting model to feature number 763, F802
## 2026-07-10 05:58:43.55702 INFO::Fitting model to feature number 764, F803
## 2026-07-10 05:58:43.55939 INFO::Fitting model to feature number 765, F804
## 2026-07-10 05:58:43.561701 INFO::Fitting model to feature number 766, F805
## 2026-07-10 05:58:43.564081 INFO::Fitting model to feature number 767, F806
## 2026-07-10 05:58:43.566391 INFO::Fitting model to feature number 768, F808
## 2026-07-10 05:58:43.568718 INFO::Fitting model to feature number 769, F809
## 2026-07-10 05:58:43.571069 INFO::Fitting model to feature number 770, F810
## 2026-07-10 05:58:43.573388 INFO::Fitting model to feature number 771, F811
## 2026-07-10 05:58:43.575676 INFO::Fitting model to feature number 772, F812
## 2026-07-10 05:58:43.57802 INFO::Fitting model to feature number 773, F813
## 2026-07-10 05:58:43.580327 INFO::Fitting model to feature number 774, F814
## 2026-07-10 05:58:43.582642 INFO::Fitting model to feature number 775, F815
## 2026-07-10 05:58:43.584985 INFO::Fitting model to feature number 776, F816
## 2026-07-10 05:58:43.587291 INFO::Fitting model to feature number 777, F817
## 2026-07-10 05:58:43.589625 INFO::Fitting model to feature number 778, F818
## 2026-07-10 05:58:43.591948 INFO::Fitting model to feature number 779, F819
## 2026-07-10 05:58:43.594265 INFO::Fitting model to feature number 780, F820
## 2026-07-10 05:58:43.596584 INFO::Fitting model to feature number 781, F821
## 2026-07-10 05:58:43.598904 INFO::Fitting model to feature number 782, F822
## 2026-07-10 05:58:43.601198 INFO::Fitting model to feature number 783, F823
## 2026-07-10 05:58:43.603502 INFO::Fitting model to feature number 784, F824
## 2026-07-10 05:58:43.605835 INFO::Fitting model to feature number 785, F825
## 2026-07-10 05:58:43.608131 INFO::Fitting model to feature number 786, F826
## 2026-07-10 05:58:43.610432 INFO::Fitting model to feature number 787, F827
## 2026-07-10 05:58:43.612764 INFO::Fitting model to feature number 788, F828
## 2026-07-10 05:58:43.615064 INFO::Fitting model to feature number 789, F829
## 2026-07-10 05:58:43.617373 INFO::Fitting model to feature number 790, F830
## 2026-07-10 05:58:43.61969 INFO::Fitting model to feature number 791, F831
## 2026-07-10 05:58:43.622043 INFO::Fitting model to feature number 792, F832
## 2026-07-10 05:58:43.624371 INFO::Fitting model to feature number 793, F833
## 2026-07-10 05:58:43.626694 INFO::Fitting model to feature number 794, F834
## 2026-07-10 05:58:43.629059 INFO::Fitting model to feature number 795, F835
## 2026-07-10 05:58:43.631362 INFO::Fitting model to feature number 796, F836
## 2026-07-10 05:58:43.633677 INFO::Fitting model to feature number 797, F837
## 2026-07-10 05:58:43.636056 INFO::Fitting model to feature number 798, F838
## 2026-07-10 05:58:43.638371 INFO::Fitting model to feature number 799, F839
## 2026-07-10 05:58:43.64067 INFO::Fitting model to feature number 800, F840
## 2026-07-10 05:58:43.643013 INFO::Fitting model to feature number 801, F841
## 2026-07-10 05:58:43.645309 INFO::Fitting model to feature number 802, F842
## 2026-07-10 05:58:43.647613 INFO::Fitting model to feature number 803, F843
## 2026-07-10 05:58:43.649957 INFO::Fitting model to feature number 804, F844
## 2026-07-10 05:58:43.652278 INFO::Fitting model to feature number 805, F845
## 2026-07-10 05:58:43.654612 INFO::Fitting model to feature number 806, F847
## 2026-07-10 05:58:43.657051 INFO::Fitting model to feature number 807, F848
## 2026-07-10 05:58:43.659412 INFO::Fitting model to feature number 808, F849
## 2026-07-10 05:58:43.661788 INFO::Fitting model to feature number 809, F850
## 2026-07-10 05:58:43.664114 INFO::Fitting model to feature number 810, F851
## 2026-07-10 05:58:43.666421 INFO::Fitting model to feature number 811, F852
## 2026-07-10 05:58:43.668782 INFO::Fitting model to feature number 812, F853
## 2026-07-10 05:58:43.671093 INFO::Fitting model to feature number 813, F854
## 2026-07-10 05:58:43.673418 INFO::Fitting model to feature number 814, F855
## 2026-07-10 05:58:43.675829 INFO::Fitting model to feature number 815, F856
## 2026-07-10 05:58:43.678174 INFO::Fitting model to feature number 816, F857
## 2026-07-10 05:58:43.680495 INFO::Fitting model to feature number 817, F858
## 2026-07-10 05:58:43.68284 INFO::Fitting model to feature number 818, F859
## 2026-07-10 05:58:43.685129 INFO::Fitting model to feature number 819, F860
## 2026-07-10 05:58:43.687425 INFO::Fitting model to feature number 820, F861
## 2026-07-10 05:58:43.689719 INFO::Fitting model to feature number 821, F862
## 2026-07-10 05:58:43.692047 INFO::Fitting model to feature number 822, F863
## 2026-07-10 05:58:43.69438 INFO::Fitting model to feature number 823, F864
## 2026-07-10 05:58:43.696699 INFO::Fitting model to feature number 824, F865
## 2026-07-10 05:58:43.699039 INFO::Fitting model to feature number 825, F866
## 2026-07-10 05:58:43.701338 INFO::Fitting model to feature number 826, F867
## 2026-07-10 05:58:43.703644 INFO::Fitting model to feature number 827, F868
## 2026-07-10 05:58:43.705964 INFO::Fitting model to feature number 828, F869
## 2026-07-10 05:58:43.708258 INFO::Fitting model to feature number 829, F870
## 2026-07-10 05:58:43.710535 INFO::Fitting model to feature number 830, F871
## 2026-07-10 05:58:43.712911 INFO::Fitting model to feature number 831, F872
## 2026-07-10 05:58:43.71524 INFO::Fitting model to feature number 832, F873
## 2026-07-10 05:58:43.717534 INFO::Fitting model to feature number 833, F874
## 2026-07-10 05:58:43.719862 INFO::Fitting model to feature number 834, F875
## 2026-07-10 05:58:43.722183 INFO::Fitting model to feature number 835, F876
## 2026-07-10 05:58:43.724483 INFO::Fitting model to feature number 836, F877
## 2026-07-10 05:58:43.726813 INFO::Fitting model to feature number 837, F878
## 2026-07-10 05:58:43.729146 INFO::Fitting model to feature number 838, F879
## 2026-07-10 05:58:43.731447 INFO::Fitting model to feature number 839, F880
## 2026-07-10 05:58:43.733764 INFO::Fitting model to feature number 840, F881
## 2026-07-10 05:58:43.736102 INFO::Fitting model to feature number 841, F882
## 2026-07-10 05:58:43.7384 INFO::Fitting model to feature number 842, F883
## 2026-07-10 05:58:43.740696 INFO::Fitting model to feature number 843, F884
## 2026-07-10 05:58:43.743035 INFO::Fitting model to feature number 844, F885
## 2026-07-10 05:58:43.745342 INFO::Fitting model to feature number 845, F886
## 2026-07-10 05:58:43.747639 INFO::Fitting model to feature number 846, F887
## 2026-07-10 05:58:43.749973 INFO::Fitting model to feature number 847, F888
## 2026-07-10 05:58:43.752274 INFO::Fitting model to feature number 848, F889
## 2026-07-10 05:58:43.754655 INFO::Fitting model to feature number 849, F890
## 2026-07-10 05:58:43.757101 INFO::Fitting model to feature number 850, F891
## 2026-07-10 05:58:43.771754 INFO::Fitting model to feature number 851, F892
## 2026-07-10 05:58:43.774216 INFO::Fitting model to feature number 852, F893
## 2026-07-10 05:58:43.77653 INFO::Fitting model to feature number 853, F894
## 2026-07-10 05:58:43.778847 INFO::Fitting model to feature number 854, F895
## 2026-07-10 05:58:43.781144 INFO::Fitting model to feature number 855, F896
## 2026-07-10 05:58:43.783457 INFO::Fitting model to feature number 856, F897
## 2026-07-10 05:58:43.785808 INFO::Fitting model to feature number 857, F898
## 2026-07-10 05:58:43.788129 INFO::Fitting model to feature number 858, F899
## 2026-07-10 05:58:43.790443 INFO::Fitting model to feature number 859, F900
## 2026-07-10 05:58:43.902115 INFO::Counting total values for each feature
## 2026-07-10 05:58:43.979611 INFO::Writing filtered data to file Macarron_output/maaslin2_results/features/filtered_data.tsv
## 2026-07-10 05:58:44.034623 INFO::Writing filtered, normalized data to file Macarron_output/maaslin2_results/features/filtered_data_norm.tsv
## 2026-07-10 05:58:44.08943 INFO::Writing filtered, normalized, transformed data to file Macarron_output/maaslin2_results/features/filtered_data_norm_transformed.tsv
## 2026-07-10 05:58:44.144321 INFO::Writing residuals to file Macarron_output/maaslin2_results/fits/residuals.rds
## 2026-07-10 05:58:44.173273 INFO::Writing fitted values to file Macarron_output/maaslin2_results/fits/fitted.rds
## 2026-07-10 05:58:44.197494 INFO::Writing all results to file (ordered by increasing q-values): Macarron_output/maaslin2_results/all_results.tsv
## 2026-07-10 05:58:44.207125 INFO::Writing the significant results (those which are less than or equal to the threshold of 0.250000 ) to file (ordered by increasing q-values): Macarron_output/maaslin2_results/significant_results.tsv
## 2026-07-10 05:58:44.211448 INFO::Writing association plots (one for each significant association) to output folder: Macarron_output/maaslin2_results
## 2026-07-10 05:58:44.222683 INFO::Plotting associations from most to least significant, grouped by metadata
## 2026-07-10 05:58:44.223403 INFO::Plotting data for metadata number 1, diagnosis
## 2026-07-10 05:58:44.25119 INFO::Creating boxplot for categorical data, diagnosis vs F504
## 2026-07-10 05:58:44.560588 INFO::Creating boxplot for categorical data, diagnosis vs F859
## 2026-07-10 05:58:44.775199 INFO::Creating boxplot for categorical data, diagnosis vs F533
## 2026-07-10 05:58:44.981642 INFO::Creating boxplot for categorical data, diagnosis vs F587
## 2026-07-10 05:58:45.19506 INFO::Creating boxplot for categorical data, diagnosis vs F584
## 2026-07-10 05:58:45.396865 INFO::Creating boxplot for categorical data, diagnosis vs F197
## 2026-07-10 05:58:45.60887 INFO::Creating boxplot for categorical data, diagnosis vs F380
## 2026-07-10 05:58:45.808623 INFO::Creating boxplot for categorical data, diagnosis vs F829
## 2026-07-10 05:58:46.01832 INFO::Creating boxplot for categorical data, diagnosis vs F664
## 2026-07-10 05:58:46.22104 INFO::Creating boxplot for categorical data, diagnosis vs F93
## 2026-07-10 05:58:46.424463 INFO::Creating boxplot for categorical data, diagnosis vs F15
## 2026-07-10 05:58:46.633295 INFO::Creating boxplot for categorical data, diagnosis vs F881
## 2026-07-10 05:58:46.835423 INFO::Creating boxplot for categorical data, diagnosis vs F806
## 2026-07-10 05:58:47.116215 INFO::Creating boxplot for categorical data, diagnosis vs F78
## 2026-07-10 05:58:47.320217 INFO::Creating boxplot for categorical data, diagnosis vs F189
## 2026-07-10 05:58:47.533816 INFO::Creating boxplot for categorical data, diagnosis vs F369
## 2026-07-10 05:58:47.740707 INFO::Creating boxplot for categorical data, diagnosis vs F623
## 2026-07-10 05:58:47.959586 INFO::Creating boxplot for categorical data, diagnosis vs F710
## 2026-07-10 05:58:48.165944 INFO::Creating boxplot for categorical data, diagnosis vs F851
## 2026-07-10 05:58:48.377404 INFO::Creating boxplot for categorical data, diagnosis vs F257
## 2026-07-10 05:58:48.591302 INFO::Creating boxplot for categorical data, diagnosis vs F330
## 2026-07-10 05:58:48.794437 INFO::Creating boxplot for categorical data, diagnosis vs F344
## 2026-07-10 05:58:49.004631 INFO::Creating boxplot for categorical data, diagnosis vs F696
## 2026-07-10 05:58:49.206827 INFO::Creating boxplot for categorical data, diagnosis vs F741
## 2026-07-10 05:58:49.423265 INFO::Creating boxplot for categorical data, diagnosis vs F509
## 2026-07-10 05:58:49.626826 INFO::Creating boxplot for categorical data, diagnosis vs F479
## 2026-07-10 05:58:49.84031 INFO::Creating boxplot for categorical data, diagnosis vs F550
## 2026-07-10 05:58:50.045503 INFO::Creating boxplot for categorical data, diagnosis vs F640
## 2026-07-10 05:58:50.258229 INFO::Creating boxplot for categorical data, diagnosis vs F281
## 2026-07-10 05:58:50.46071 INFO::Creating boxplot for categorical data, diagnosis vs F80
## 2026-07-10 05:58:50.663035 INFO::Creating boxplot for categorical data, diagnosis vs F285
## 2026-07-10 05:58:50.87728 INFO::Creating boxplot for categorical data, diagnosis vs F531
## 2026-07-10 05:58:51.0825 INFO::Creating boxplot for categorical data, diagnosis vs F737
## 2026-07-10 05:58:51.297092 INFO::Creating boxplot for categorical data, diagnosis vs F875
## 2026-07-10 05:58:51.502462 INFO::Creating boxplot for categorical data, diagnosis vs F864
## 2026-07-10 05:58:51.710165 INFO::Creating boxplot for categorical data, diagnosis vs F379
## 2026-07-10 05:58:51.915701 INFO::Creating boxplot for categorical data, diagnosis vs F190
## 2026-07-10 05:58:52.132828 INFO::Creating boxplot for categorical data, diagnosis vs F4
## 2026-07-10 05:58:52.342747 INFO::Creating boxplot for categorical data, diagnosis vs F591
## 2026-07-10 05:58:52.555597 INFO::Creating boxplot for categorical data, diagnosis vs F773
## 2026-07-10 05:58:52.757835 INFO::Creating boxplot for categorical data, diagnosis vs F283
## 2026-07-10 05:58:52.97219 INFO::Creating boxplot for categorical data, diagnosis vs F233
## 2026-07-10 05:58:53.177601 INFO::Creating boxplot for categorical data, diagnosis vs F420
## 2026-07-10 05:58:53.390425 INFO::Creating boxplot for categorical data, diagnosis vs F5
## 2026-07-10 05:58:53.595674 INFO::Creating boxplot for categorical data, diagnosis vs F137
## 2026-07-10 05:58:53.814217 INFO::Creating boxplot for categorical data, diagnosis vs F215
## 2026-07-10 05:58:54.021923 INFO::Creating boxplot for categorical data, diagnosis vs F489
## 2026-07-10 05:58:54.235865 INFO::Creating boxplot for categorical data, diagnosis vs F220
## 2026-07-10 05:58:54.442902 INFO::Creating boxplot for categorical data, diagnosis vs F691
## 2026-07-10 05:58:54.662539 INFO::Creating boxplot for categorical data, diagnosis vs F381
## 2026-07-10 05:58:54.868915 INFO::Creating boxplot for categorical data, diagnosis vs F539
## 2026-07-10 05:58:55.080846 INFO::Creating boxplot for categorical data, diagnosis vs F490
## 2026-07-10 05:58:55.284389 INFO::Creating boxplot for categorical data, diagnosis vs F832
## 2026-07-10 05:58:55.505647 INFO::Creating boxplot for categorical data, diagnosis vs F396
## 2026-07-10 05:58:55.715197 INFO::Creating boxplot for categorical data, diagnosis vs F528
## 2026-07-10 05:58:55.93287 INFO::Creating boxplot for categorical data, diagnosis vs F178
## 2026-07-10 05:58:56.13655 INFO::Creating boxplot for categorical data, diagnosis vs F761
## 2026-07-10 05:58:56.39015 INFO::Creating boxplot for categorical data, diagnosis vs F2
## 2026-07-10 05:58:56.599335 INFO::Creating boxplot for categorical data, diagnosis vs F260
## 2026-07-10 05:58:56.809038 INFO::Creating boxplot for categorical data, diagnosis vs F234
## 2026-07-10 05:58:57.039229 INFO::Creating boxplot for categorical data, diagnosis vs F734
## 2026-07-10 05:58:57.253251 INFO::Creating boxplot for categorical data, diagnosis vs F429
## 2026-07-10 05:58:57.482461 INFO::Creating boxplot for categorical data, diagnosis vs F630
## 2026-07-10 05:58:57.695279 INFO::Creating boxplot for categorical data, diagnosis vs F817
## 2026-07-10 05:58:57.920017 INFO::Creating boxplot for categorical data, diagnosis vs F847
## 2026-07-10 05:58:58.134836 INFO::Creating boxplot for categorical data, diagnosis vs F896
## 2026-07-10 05:58:58.360071 INFO::Creating boxplot for categorical data, diagnosis vs F81
## 2026-07-10 05:58:58.568964 INFO::Creating boxplot for categorical data, diagnosis vs F110
## 2026-07-10 05:58:58.790431 INFO::Creating boxplot for categorical data, diagnosis vs F3
## 2026-07-10 05:58:59.012289 INFO::Creating boxplot for categorical data, diagnosis vs F33
## 2026-07-10 05:58:59.2242 INFO::Creating boxplot for categorical data, diagnosis vs F270
## 2026-07-10 05:58:59.454653 INFO::Creating boxplot for categorical data, diagnosis vs F278
## 2026-07-10 05:58:59.66546 INFO::Creating boxplot for categorical data, diagnosis vs F264
## 2026-07-10 05:58:59.895179 INFO::Creating boxplot for categorical data, diagnosis vs F403
## 2026-07-10 05:59:00.114675 INFO::Creating boxplot for categorical data, diagnosis vs F90
## 2026-07-10 05:59:00.345527 INFO::Creating boxplot for categorical data, diagnosis vs F800
## 2026-07-10 05:59:00.558952 INFO::Creating boxplot for categorical data, diagnosis vs F394
## 2026-07-10 05:59:00.796379 INFO::Creating boxplot for categorical data, diagnosis vs F727
## 2026-07-10 05:59:01.007881 INFO::Creating boxplot for categorical data, diagnosis vs F439
## 2026-07-10 05:59:01.23805 INFO::Creating boxplot for categorical data, diagnosis vs F554
## 2026-07-10 05:59:01.455195 INFO::Creating boxplot for categorical data, diagnosis vs F559
## 2026-07-10 05:59:01.684745 INFO::Creating boxplot for categorical data, diagnosis vs F548
## 2026-07-10 05:59:01.899681 INFO::Creating boxplot for categorical data, diagnosis vs F794
## 2026-07-10 05:59:02.122127 INFO::Creating boxplot for categorical data, diagnosis vs F45
## 2026-07-10 05:59:02.343113 INFO::Creating boxplot for categorical data, diagnosis vs F158
## 2026-07-10 05:59:02.556189 INFO::Creating boxplot for categorical data, diagnosis vs F477
## 2026-07-10 05:59:02.785814 INFO::Creating boxplot for categorical data, diagnosis vs F862
## 2026-07-10 05:59:02.996773 INFO::Creating boxplot for categorical data, diagnosis vs F803
## 2026-07-10 05:59:03.226597 INFO::Creating boxplot for categorical data, diagnosis vs F751
## 2026-07-10 05:59:03.438379 INFO::Creating boxplot for categorical data, diagnosis vs F98
## 2026-07-10 05:59:03.672473 INFO::Creating boxplot for categorical data, diagnosis vs F22
## 2026-07-10 05:59:03.887393 INFO::Creating boxplot for categorical data, diagnosis vs F625
## 2026-07-10 05:59:04.115372 INFO::Creating boxplot for categorical data, diagnosis vs F779
## 2026-07-10 05:59:04.33167 INFO::Creating boxplot for categorical data, diagnosis vs F206
## 2026-07-10 05:59:04.556367 INFO::Creating boxplot for categorical data, diagnosis vs F532
## 2026-07-10 05:59:04.76201 INFO::Creating boxplot for categorical data, diagnosis vs F676
## 2026-07-10 05:59:04.985959 INFO::Creating boxplot for categorical data, diagnosis vs F644
## 2026-07-10 05:59:05.194911 INFO::Creating boxplot for categorical data, diagnosis vs F7
## 2026-07-10 05:59:05.418565 INFO::Creating boxplot for categorical data, diagnosis vs F596
## 2026-07-10 05:59:05.623712 INFO::Creating boxplot for categorical data, diagnosis vs F250
## 2026-07-10 05:59:05.852996 INFO::Creating boxplot for categorical data, diagnosis vs F462
## 2026-07-10 05:59:06.06191 INFO::Creating boxplot for categorical data, diagnosis vs F516
## 2026-07-10 05:59:06.329245 INFO::Creating boxplot for categorical data, diagnosis vs F659
## 2026-07-10 05:59:06.544094 INFO::Creating boxplot for categorical data, diagnosis vs F663
## 2026-07-10 05:59:06.767426 INFO::Creating boxplot for categorical data, diagnosis vs F837
## 2026-07-10 05:59:06.977369 INFO::Creating boxplot for categorical data, diagnosis vs F138
## 2026-07-10 05:59:07.200324 INFO::Creating boxplot for categorical data, diagnosis vs F445
## 2026-07-10 05:59:07.411682 INFO::Creating boxplot for categorical data, diagnosis vs F697
## 2026-07-10 05:59:07.641289 INFO::Creating boxplot for categorical data, diagnosis vs F225
## 2026-07-10 05:59:07.862217 INFO::Creating boxplot for categorical data, diagnosis vs F148
## 2026-07-10 05:59:08.07429 INFO::Creating boxplot for categorical data, diagnosis vs F448
## 2026-07-10 05:59:08.296481 INFO::Creating boxplot for categorical data, diagnosis vs F665
## 2026-07-10 05:59:08.505075 INFO::Creating boxplot for categorical data, diagnosis vs F123
## 2026-07-10 05:59:08.726018 INFO::Creating boxplot for categorical data, diagnosis vs F91
## 2026-07-10 05:59:08.935386 INFO::Creating boxplot for categorical data, diagnosis vs F845
## 2026-07-10 05:59:09.164246 INFO::Creating boxplot for categorical data, diagnosis vs F331
## 2026-07-10 05:59:09.375611 INFO::Creating boxplot for categorical data, diagnosis vs F361
## 2026-07-10 05:59:09.598561 INFO::Creating boxplot for categorical data, diagnosis vs F421
## 2026-07-10 05:59:09.807881 INFO::Creating boxplot for categorical data, diagnosis vs F277
## 2026-07-10 05:59:10.031169 INFO::Creating boxplot for categorical data, diagnosis vs F307
## 2026-07-10 05:59:10.241612 INFO::Creating boxplot for categorical data, diagnosis vs F503
## 2026-07-10 05:59:10.459409 INFO::Creating boxplot for categorical data, diagnosis vs F34
## 2026-07-10 05:59:10.674233 INFO::Creating boxplot for categorical data, diagnosis vs F649
## 2026-07-10 05:59:10.884101 INFO::Creating boxplot for categorical data, diagnosis vs F298
## 2026-07-10 05:59:11.11181 INFO::Creating boxplot for categorical data, diagnosis vs F461
## 2026-07-10 05:59:11.31978 INFO::Creating boxplot for categorical data, diagnosis vs F375
## 2026-07-10 05:59:11.543514 INFO::Creating boxplot for categorical data, diagnosis vs F242
## 2026-07-10 05:59:11.75419 INFO::Creating boxplot for categorical data, diagnosis vs F648
## 2026-07-10 05:59:11.977906 INFO::Creating boxplot for categorical data, diagnosis vs F724
## 2026-07-10 05:59:12.190032 INFO::Creating boxplot for categorical data, diagnosis vs F678
## 2026-07-10 05:59:12.412954 INFO::Creating boxplot for categorical data, diagnosis vs F261
## 2026-07-10 05:59:12.62181 INFO::Creating boxplot for categorical data, diagnosis vs F290
## 2026-07-10 05:59:12.850292 INFO::Creating boxplot for categorical data, diagnosis vs F743
## 2026-07-10 05:59:13.064427 INFO::Creating boxplot for categorical data, diagnosis vs F495
## 2026-07-10 05:59:13.293268 INFO::Creating boxplot for categorical data, diagnosis vs F825
## 2026-07-10 05:59:13.507214 INFO::Creating boxplot for categorical data, diagnosis vs F43
## 2026-07-10 05:59:13.731077 INFO::Creating boxplot for categorical data, diagnosis vs F714
## 2026-07-10 05:59:13.943233 INFO::Creating boxplot for categorical data, diagnosis vs F131
## 2026-07-10 05:59:14.168685 INFO::Creating boxplot for categorical data, diagnosis vs F150
## 2026-07-10 05:59:14.380996 INFO::Creating boxplot for categorical data, diagnosis vs F651
## 2026-07-10 05:59:14.609888 INFO::Creating boxplot for categorical data, diagnosis vs F798
## 2026-07-10 05:59:14.818619 INFO::Creating boxplot for categorical data, diagnosis vs F199
## 2026-07-10 05:59:15.041849 INFO::Creating boxplot for categorical data, diagnosis vs F289
## 2026-07-10 05:59:15.247674 INFO::Creating boxplot for categorical data, diagnosis vs F661
## 2026-07-10 05:59:15.469783 INFO::Creating boxplot for categorical data, diagnosis vs F406
## 2026-07-10 05:59:15.68697 INFO::Creating boxplot for categorical data, diagnosis vs F139
## 2026-07-10 05:59:16.446444 INFO::Creating boxplot for categorical data, diagnosis vs F506
## 2026-07-10 05:59:16.643758 INFO::Creating boxplot for categorical data, diagnosis vs F552
## 2026-07-10 05:59:16.853491 INFO::Creating boxplot for categorical data, diagnosis vs F430
## 2026-07-10 05:59:17.054368 INFO::Creating boxplot for categorical data, diagnosis vs F94
## 2026-07-10 05:59:17.261676 INFO::Creating boxplot for categorical data, diagnosis vs F639
## 2026-07-10 05:59:17.461862 INFO::Creating boxplot for categorical data, diagnosis vs F500
## 2026-07-10 05:59:17.662953 INFO::Creating boxplot for categorical data, diagnosis vs F609
## 2026-07-10 05:59:17.866857 INFO::Creating boxplot for categorical data, diagnosis vs F306
## 2026-07-10 05:59:18.06854 INFO::Creating boxplot for categorical data, diagnosis vs F507
## 2026-07-10 05:59:18.274217 INFO::Creating boxplot for categorical data, diagnosis vs F671
## 2026-07-10 05:59:18.471438 INFO::Creating boxplot for categorical data, diagnosis vs F894
## 2026-07-10 05:59:18.687135 INFO::Creating boxplot for categorical data, diagnosis vs F195
## 2026-07-10 05:59:18.888607 INFO::Creating boxplot for categorical data, diagnosis vs F345
## 2026-07-10 05:59:19.101377 INFO::Creating boxplot for categorical data, diagnosis vs F801
## 2026-07-10 05:59:19.306609 INFO::Creating boxplot for categorical data, diagnosis vs F194
## 2026-07-10 05:59:19.539915 INFO::Creating boxplot for categorical data, diagnosis vs F119
## 2026-07-10 05:59:19.741746 INFO::Creating boxplot for categorical data, diagnosis vs F231
## 2026-07-10 05:59:19.948826 INFO::Creating boxplot for categorical data, diagnosis vs F120
## 2026-07-10 05:59:20.165119 INFO::Creating boxplot for categorical data, diagnosis vs F311
## 2026-07-10 05:59:20.367882 INFO::Creating boxplot for categorical data, diagnosis vs F646
## 2026-07-10 05:59:20.578639 INFO::Creating boxplot for categorical data, diagnosis vs F814
## 2026-07-10 05:59:20.777526 INFO::Creating boxplot for categorical data, diagnosis vs F510
## 2026-07-10 05:59:20.984886 INFO::Creating boxplot for categorical data, diagnosis vs F398
## 2026-07-10 05:59:21.183565 INFO::Creating boxplot for categorical data, diagnosis vs F60
## 2026-07-10 05:59:21.392635 INFO::Creating boxplot for categorical data, diagnosis vs F153
## 2026-07-10 05:59:21.593581 INFO::Creating boxplot for categorical data, diagnosis vs F858
## 2026-07-10 05:59:21.801122 INFO::Creating boxplot for categorical data, diagnosis vs F684
## 2026-07-10 05:59:22.000051 INFO::Creating boxplot for categorical data, diagnosis vs F775
## 2026-07-10 05:59:22.20667 INFO::Creating boxplot for categorical data, diagnosis vs F384
## 2026-07-10 05:59:22.404689 INFO::Creating boxplot for categorical data, diagnosis vs F134
## 2026-07-10 05:59:22.610828 INFO::Creating boxplot for categorical data, diagnosis vs F670
## 2026-07-10 05:59:22.8101 INFO::Creating boxplot for categorical data, diagnosis vs F376
## 2026-07-10 05:59:23.016778 INFO::Creating boxplot for categorical data, diagnosis vs F632
## 2026-07-10 05:59:23.21843 INFO::Creating boxplot for categorical data, diagnosis vs F721
## 2026-07-10 05:59:23.427806 INFO::Creating boxplot for categorical data, diagnosis vs F700
## 2026-07-10 05:59:23.62772 INFO::Creating boxplot for categorical data, diagnosis vs F301
## 2026-07-10 05:59:23.828215 INFO::Creating boxplot for categorical data, diagnosis vs F27
## 2026-07-10 05:59:24.033447 INFO::Creating boxplot for categorical data, diagnosis vs F391
## 2026-07-10 05:59:24.234225 INFO::Creating boxplot for categorical data, diagnosis vs F725
## 2026-07-10 05:59:24.436429 INFO::Creating boxplot for categorical data, diagnosis vs F186
## 2026-07-10 05:59:24.639661 INFO::Creating boxplot for categorical data, diagnosis vs F481
## 2026-07-10 05:59:24.845774 INFO::Creating boxplot for categorical data, diagnosis vs F280
## 2026-07-10 05:59:25.045114 INFO::Creating boxplot for categorical data, diagnosis vs F333
## 2026-07-10 05:59:25.24701 INFO::Creating boxplot for categorical data, diagnosis vs F720
## 2026-07-10 05:59:25.445868 INFO::Creating boxplot for categorical data, diagnosis vs F520
## 2026-07-10 05:59:25.709423 INFO::Creating boxplot for categorical data, diagnosis vs F129
## 2026-07-10 05:59:25.916442 INFO::Creating boxplot for categorical data, diagnosis vs F204
## 2026-07-10 05:59:26.137127 INFO::Creating boxplot for categorical data, diagnosis vs F259
## 2026-07-10 05:59:26.344354 INFO::Creating boxplot for categorical data, diagnosis vs F831
## 2026-07-10 05:59:26.569854 INFO::Creating boxplot for categorical data, diagnosis vs F113
## 2026-07-10 05:59:26.776468 INFO::Creating boxplot for categorical data, diagnosis vs F891
## 2026-07-10 05:59:26.993657 INFO::Creating boxplot for categorical data, diagnosis vs F262
## 2026-07-10 05:59:27.202388 INFO::Creating boxplot for categorical data, diagnosis vs F592
## 2026-07-10 05:59:27.404926 INFO::Creating boxplot for categorical data, diagnosis vs F343
## 2026-07-10 05:59:27.628567 INFO::Creating boxplot for categorical data, diagnosis vs F505
## 2026-07-10 05:59:27.832909 INFO::Creating boxplot for categorical data, diagnosis vs F622
## 2026-07-10 05:59:28.060254 INFO::Creating boxplot for categorical data, diagnosis vs F348
## 2026-07-10 05:59:28.270658 INFO::Creating boxplot for categorical data, diagnosis vs F133
## 2026-07-10 05:59:28.490317 INFO::Creating boxplot for categorical data, diagnosis vs F371
## 2026-07-10 05:59:28.702014 INFO::Creating boxplot for categorical data, diagnosis vs F399
## 2026-07-10 05:59:28.922427 INFO::Creating boxplot for categorical data, diagnosis vs F657
## 2026-07-10 05:59:29.128808 INFO::Creating boxplot for categorical data, diagnosis vs F241
## 2026-07-10 05:59:29.346651 INFO::Creating boxplot for categorical data, diagnosis vs F95
## 2026-07-10 05:59:29.555563 INFO::Creating boxplot for categorical data, diagnosis vs F128
## 2026-07-10 05:59:29.766666 INFO::Creating boxplot for categorical data, diagnosis vs F595
## 2026-07-10 05:59:29.981587 INFO::Creating boxplot for categorical data, diagnosis vs F428
## 2026-07-10 05:59:30.192154 INFO::Creating boxplot for categorical data, diagnosis vs F796
## 2026-07-10 05:59:30.421462 INFO::Creating boxplot for categorical data, diagnosis vs F709
## 2026-07-10 05:59:30.628874 INFO::Creating boxplot for categorical data, diagnosis vs F336
## 2026-07-10 05:59:30.857854 INFO::Creating boxplot for categorical data, diagnosis vs F602
## 2026-07-10 05:59:31.067717 INFO::Creating boxplot for categorical data, diagnosis vs F108
## 2026-07-10 05:59:31.286666 INFO::Creating boxplot for categorical data, diagnosis vs F867
## 2026-07-10 05:59:31.492022 INFO::Creating boxplot for categorical data, diagnosis vs F293
## 2026-07-10 05:59:31.709471 INFO::Creating boxplot for categorical data, diagnosis vs F633
## 2026-07-10 05:59:31.91291 INFO::Creating boxplot for categorical data, diagnosis vs F564
## 2026-07-10 05:59:32.131427 INFO::Creating boxplot for categorical data, diagnosis vs F183
## 2026-07-10 05:59:32.337882 INFO::Creating boxplot for categorical data, diagnosis vs F647
## 2026-07-10 05:59:32.560353 INFO::Creating boxplot for categorical data, diagnosis vs F288
## 2026-07-10 05:59:32.768413 INFO::Creating boxplot for categorical data, diagnosis vs F159
## 2026-07-10 05:59:32.987772 INFO::Creating boxplot for categorical data, diagnosis vs F638
## 2026-07-10 05:59:33.196942 INFO::Creating boxplot for categorical data, diagnosis vs F484
## 2026-07-10 05:59:33.414303 INFO::Creating boxplot for categorical data, diagnosis vs F20
## 2026-07-10 05:59:33.618692 INFO::Creating boxplot for categorical data, diagnosis vs F19
## 2026-07-10 05:59:33.833962 INFO::Creating boxplot for categorical data, diagnosis vs F897
## 2026-07-10 05:59:34.044624 INFO::Creating boxplot for categorical data, diagnosis vs F442
## 2026-07-10 05:59:34.266377 INFO::Creating boxplot for categorical data, diagnosis vs F372
## 2026-07-10 05:59:34.475228 INFO::Creating boxplot for categorical data, diagnosis vs F771
## 2026-07-10 05:59:34.697351 INFO::Creating boxplot for categorical data, diagnosis vs F370
## 2026-07-10 05:59:34.906811 INFO::Creating boxplot for categorical data, diagnosis vs F620
## 2026-07-10 05:59:35.171345 INFO::Creating boxplot for categorical data, diagnosis vs F753
## 2026-07-10 05:59:35.388951 INFO::Creating boxplot for categorical data, diagnosis vs F568
## 2026-07-10 05:59:35.622349 INFO::Creating boxplot for categorical data, diagnosis vs F312
## 2026-07-10 05:59:35.85496 INFO::Creating boxplot for categorical data, diagnosis vs F485
## 2026-07-10 05:59:36.077257 INFO::Creating boxplot for categorical data, diagnosis vs F627
## 2026-07-10 05:59:36.316808 INFO::Creating boxplot for categorical data, diagnosis vs F72
## 2026-07-10 05:59:36.537391 INFO::Creating boxplot for categorical data, diagnosis vs F575
## 2026-07-10 05:59:36.773679 INFO::Creating boxplot for categorical data, diagnosis vs F332
## 2026-07-10 05:59:36.990792 INFO::Creating boxplot for categorical data, diagnosis vs F674
## 2026-07-10 05:59:37.226133 INFO::Creating boxplot for categorical data, diagnosis vs F537
## 2026-07-10 05:59:37.439584 INFO::Creating boxplot for categorical data, diagnosis vs F839
## 2026-07-10 05:59:37.673439 INFO::Creating boxplot for categorical data, diagnosis vs F768
## 2026-07-10 05:59:37.893145 INFO::Creating boxplot for categorical data, diagnosis vs F202
## 2026-07-10 05:59:38.123223 INFO::Creating boxplot for categorical data, diagnosis vs F715
## 2026-07-10 05:59:38.356337 INFO::Creating boxplot for categorical data, diagnosis vs F756
## 2026-07-10 05:59:38.580565 INFO::Creating boxplot for categorical data, diagnosis vs F536
## 2026-07-10 05:59:38.819092 INFO::Creating boxplot for categorical data, diagnosis vs F574
## 2026-07-10 05:59:39.032973 INFO::Creating boxplot for categorical data, diagnosis vs F435
## 2026-07-10 05:59:39.267472 INFO::Creating boxplot for categorical data, diagnosis vs F677
## 2026-07-10 05:59:39.483626 INFO::Creating boxplot for categorical data, diagnosis vs F70
## 2026-07-10 05:59:39.722199 INFO::Creating boxplot for categorical data, diagnosis vs F146
## 2026-07-10 05:59:39.936852 INFO::Creating boxplot for categorical data, diagnosis vs F236
## 2026-07-10 05:59:40.169947 INFO::Creating boxplot for categorical data, diagnosis vs F527
## 2026-07-10 05:59:40.383999 INFO::Creating boxplot for categorical data, diagnosis vs F624
## 2026-07-10 05:59:40.61518 INFO::Creating boxplot for categorical data, diagnosis vs F880
## 2026-07-10 05:59:40.827299 INFO::Creating boxplot for categorical data, diagnosis vs F426
## 2026-07-10 05:59:41.059453 INFO::Creating boxplot for categorical data, diagnosis vs F549
## 2026-07-10 05:59:41.275859 INFO::Creating boxplot for categorical data, diagnosis vs F49
## 2026-07-10 05:59:41.503429 INFO::Creating boxplot for categorical data, diagnosis vs F254
## 2026-07-10 05:59:41.723852 INFO::Creating boxplot for categorical data, diagnosis vs F67
## 2026-07-10 05:59:41.947623 INFO::Creating boxplot for categorical data, diagnosis vs F491
## 2026-07-10 05:59:42.173195 INFO::Creating boxplot for categorical data, diagnosis vs F174
## 2026-07-10 05:59:42.39155 INFO::Creating boxplot for categorical data, diagnosis vs F235
## 2026-07-10 05:59:42.614322 INFO::Creating boxplot for categorical data, diagnosis vs F112
## 2026-07-10 05:59:42.831607 INFO::Creating boxplot for categorical data, diagnosis vs F752
## 2026-07-10 05:59:43.063215 INFO::Creating boxplot for categorical data, diagnosis vs F833
## 2026-07-10 05:59:43.282822 INFO::Creating boxplot for categorical data, diagnosis vs F792
## 2026-07-10 05:59:43.524436 INFO::Creating boxplot for categorical data, diagnosis vs F422
## 2026-07-10 05:59:43.743701 INFO::Creating boxplot for categorical data, diagnosis vs F6
## 2026-07-10 05:59:43.973083 INFO::Creating boxplot for categorical data, diagnosis vs F706
## 2026-07-10 05:59:44.19651 INFO::Creating boxplot for categorical data, diagnosis vs F463
## 2026-07-10 05:59:44.427839 INFO::Creating boxplot for categorical data, diagnosis vs F642
## 2026-07-10 05:59:44.653328 INFO::Creating boxplot for categorical data, diagnosis vs F102
## 2026-07-10 05:59:44.87572 INFO::Creating boxplot for categorical data, diagnosis vs F65
## 2026-07-10 05:59:45.153498 INFO::Creating boxplot for categorical data, diagnosis vs F889
## 2026-07-10 05:59:45.374339 INFO::Creating boxplot for categorical data, diagnosis vs F681
## 2026-07-10 05:59:45.591435 INFO::Creating boxplot for categorical data, diagnosis vs F783
## 2026-07-10 05:59:45.825954 INFO::Creating boxplot for categorical data, diagnosis vs F748
## 2026-07-10 05:59:46.043008 INFO::Creating boxplot for categorical data, diagnosis vs F478
## 2026-07-10 05:59:46.277721 INFO::Creating boxplot for categorical data, diagnosis vs F762
## 2026-07-10 05:59:46.488607 INFO::Creating boxplot for categorical data, diagnosis vs F852
## 2026-07-10 05:59:46.720345 INFO::Creating boxplot for categorical data, diagnosis vs F180
## 2026-07-10 05:59:46.934426 INFO::Creating boxplot for categorical data, diagnosis vs F759
## 2026-07-10 05:59:47.171685 INFO::Creating boxplot for categorical data, diagnosis vs F824
## 2026-07-10 05:59:47.395852 INFO::Creating boxplot for categorical data, diagnosis vs F248
## 2026-07-10 05:59:47.610784 INFO::Creating boxplot for categorical data, diagnosis vs F145
## 2026-07-10 05:59:47.846412 INFO::Creating boxplot for categorical data, diagnosis vs F350
## 2026-07-10 05:59:48.06003 INFO::Creating boxplot for categorical data, diagnosis vs F16
## 2026-07-10 05:59:48.299935 INFO::Creating boxplot for categorical data, diagnosis vs F169
## 2026-07-10 05:59:48.515325 INFO::Creating boxplot for categorical data, diagnosis vs F392
## 2026-07-10 05:59:48.755934 INFO::Creating boxplot for categorical data, diagnosis vs F468
## 2026-07-10 05:59:48.971595 INFO::Creating boxplot for categorical data, diagnosis vs F476
## 2026-07-10 05:59:49.20879 INFO::Creating boxplot for categorical data, diagnosis vs F699
## 2026-07-10 05:59:49.423814 INFO::Creating boxplot for categorical data, diagnosis vs F735
## 2026-07-10 05:59:49.661687 INFO::Creating boxplot for categorical data, diagnosis vs F182
## 2026-07-10 05:59:49.876149 INFO::Creating boxplot for categorical data, diagnosis vs F203
## 2026-07-10 05:59:50.108806 INFO::Creating boxplot for categorical data, diagnosis vs F877
## 2026-07-10 05:59:50.328626 INFO::Creating boxplot for categorical data, diagnosis vs F433
## 2026-07-10 05:59:50.553572 INFO::Creating boxplot for categorical data, diagnosis vs F739
## 2026-07-10 05:59:50.774084 INFO::Creating boxplot for categorical data, diagnosis vs F749
## 2026-07-10 05:59:50.98152 INFO::Creating boxplot for categorical data, diagnosis vs F382
## 2026-07-10 05:59:51.21459 INFO::Creating boxplot for categorical data, diagnosis vs F438
## 2026-07-10 05:59:51.427871 INFO::Creating boxplot for categorical data, diagnosis vs F360
## 2026-07-10 05:59:51.666906 INFO::Creating boxplot for categorical data, diagnosis vs F56
## 2026-07-10 05:59:51.882975 INFO::Creating boxplot for categorical data, diagnosis vs F48
## 2026-07-10 05:59:52.12183 INFO::Creating boxplot for categorical data, diagnosis vs F162
## 2026-07-10 05:59:52.332616 INFO::Creating boxplot for categorical data, diagnosis vs F529
## 2026-07-10 05:59:52.567669 INFO::Creating boxplot for categorical data, diagnosis vs F826
## 2026-07-10 05:59:52.778045 INFO::Creating boxplot for categorical data, diagnosis vs F488
## 2026-07-10 05:59:53.0087 INFO::Creating boxplot for categorical data, diagnosis vs F309
## 2026-07-10 05:59:53.223416 INFO::Creating boxplot for categorical data, diagnosis vs F834
## 2026-07-10 05:59:53.456447 INFO::Creating boxplot for categorical data, diagnosis vs F449
## 2026-07-10 05:59:53.668976 INFO::Creating boxplot for categorical data, diagnosis vs F77
## 2026-07-10 05:59:53.901837 INFO::Creating boxplot for categorical data, diagnosis vs F365
## 2026-07-10 05:59:54.114695 INFO::Creating boxplot for categorical data, diagnosis vs F346
## 2026-07-10 05:59:54.347473 INFO::Creating boxplot for categorical data, diagnosis vs F654
## 2026-07-10 05:59:54.555004 INFO::Creating boxplot for categorical data, diagnosis vs F64
## 2026-07-10 05:59:54.783589 INFO::Creating boxplot for categorical data, diagnosis vs F79
## 2026-07-10 05:59:54.991586 INFO::Creating boxplot for categorical data, diagnosis vs F785
## 2026-07-10 05:59:55.270423 INFO::Creating boxplot for categorical data, diagnosis vs F415
## 2026-07-10 05:59:55.482609 INFO::Creating boxplot for categorical data, diagnosis vs F466
## 2026-07-10 05:59:55.72978 INFO::Creating boxplot for categorical data, diagnosis vs F643
## 2026-07-10 05:59:55.945924 INFO::Creating boxplot for categorical data, diagnosis vs F160
## 2026-07-10 05:59:56.189523 INFO::Creating boxplot for categorical data, diagnosis vs F69
## 2026-07-10 05:59:56.400966 INFO::Creating boxplot for categorical data, diagnosis vs F498
## 2026-07-10 05:59:56.634232 INFO::Creating boxplot for categorical data, diagnosis vs F207
## 2026-07-10 05:59:56.862612 INFO::Creating boxplot for categorical data, diagnosis vs F679
## 2026-07-10 05:59:57.074719 INFO::Creating boxplot for categorical data, diagnosis vs F255
## 2026-07-10 05:59:57.322236 INFO::Creating boxplot for categorical data, diagnosis vs F267
## 2026-07-10 05:59:57.538467 INFO::Creating boxplot for categorical data, diagnosis vs F143
## 2026-07-10 05:59:57.781003 INFO::Creating boxplot for categorical data, diagnosis vs F286
## 2026-07-10 05:59:57.993193 INFO::Creating boxplot for categorical data, diagnosis vs F618
## 2026-07-10 05:59:58.236472 INFO::Creating boxplot for categorical data, diagnosis vs F100
## 2026-07-10 05:59:58.459201 INFO::Creating boxplot for categorical data, diagnosis vs F562
## 2026-07-10 05:59:58.704792 INFO::Creating boxplot for categorical data, diagnosis vs F374
## 2026-07-10 05:59:58.922084 INFO::Creating boxplot for categorical data, diagnosis vs F535
## 2026-07-10 05:59:59.162411 INFO::Creating boxplot for categorical data, diagnosis vs F658
## 2026-07-10 05:59:59.381779 INFO::Creating boxplot for categorical data, diagnosis vs F707
## 2026-07-10 05:59:59.607229 INFO::Creating boxplot for categorical data, diagnosis vs F214
## 2026-07-10 05:59:59.834679 INFO::Creating boxplot for categorical data, diagnosis vs F89
## 2026-07-10 06:00:00.052857 INFO::Creating boxplot for categorical data, diagnosis vs F325
## 2026-07-10 06:00:00.297003 INFO::Creating boxplot for categorical data, diagnosis vs F578
## 2026-07-10 06:00:00.513767 INFO::Creating boxplot for categorical data, diagnosis vs F790
## 2026-07-10 06:00:00.765999 INFO::Creating boxplot for categorical data, diagnosis vs F265
## 2026-07-10 06:00:00.984279 INFO::Creating boxplot for categorical data, diagnosis vs F253
## 2026-07-10 06:00:01.227386 INFO::Creating boxplot for categorical data, diagnosis vs F294
## 2026-07-10 06:00:01.443221 INFO::Creating boxplot for categorical data, diagnosis vs F410
## 2026-07-10 06:00:01.694719 INFO::Creating boxplot for categorical data, diagnosis vs F764
## 2026-07-10 06:00:01.917836 INFO::Creating boxplot for categorical data, diagnosis vs F614
## 2026-07-10 06:00:02.16504 INFO::Creating boxplot for categorical data, diagnosis vs F675
## 2026-07-10 06:00:02.382151 INFO::Creating boxplot for categorical data, diagnosis vs F193
## 2026-07-10 06:00:02.632111 INFO::Creating boxplot for categorical data, diagnosis vs F441
## 2026-07-10 06:00:02.852325 INFO::Creating boxplot for categorical data, diagnosis vs F689
## 2026-07-10 06:00:03.098506 INFO::Creating boxplot for categorical data, diagnosis vs F249
## 2026-07-10 06:00:03.312289 INFO::Creating boxplot for categorical data, diagnosis vs F821
## 2026-07-10 06:00:03.560348 INFO::Creating boxplot for categorical data, diagnosis vs F351
## 2026-07-10 06:00:03.77518 INFO::Creating boxplot for categorical data, diagnosis vs F66
## 2026-07-10 06:00:04.018654 INFO::Creating boxplot for categorical data, diagnosis vs F172
## 2026-07-10 06:00:04.236664 INFO::Creating boxplot for categorical data, diagnosis vs F413
## 2026-07-10 06:00:04.481824 INFO::Creating boxplot for categorical data, diagnosis vs F317
## 2026-07-10 06:00:04.697104 INFO::Creating boxplot for categorical data, diagnosis vs F167
## 2026-07-10 06:00:04.941324 INFO::Creating boxplot for categorical data, diagnosis vs F229
## 2026-07-10 06:00:05.156469 INFO::Creating boxplot for categorical data, diagnosis vs F243
## 2026-07-10 06:00:05.457939 INFO::Creating boxplot for categorical data, diagnosis vs F732
## 2026-07-10 06:00:05.677539 INFO::Creating boxplot for categorical data, diagnosis vs F467
## 2026-07-10 06:00:05.927176 INFO::Creating boxplot for categorical data, diagnosis vs F474
## 2026-07-10 06:00:06.14712 INFO::Creating boxplot for categorical data, diagnosis vs F156
## 2026-07-10 06:00:06.383298 INFO::Creating boxplot for categorical data, diagnosis vs F786
## 2026-07-10 06:00:06.601543 INFO::Creating boxplot for categorical data, diagnosis vs F216
## 2026-07-10 06:00:06.816956 INFO::Creating boxplot for categorical data, diagnosis vs F85
## 2026-07-10 06:00:07.065209 INFO::Creating boxplot for categorical data, diagnosis vs F558
## 2026-07-10 06:00:07.283151 INFO::Creating boxplot for categorical data, diagnosis vs F621
## 2026-07-10 06:00:07.53366 INFO::Creating boxplot for categorical data, diagnosis vs F582
## 2026-07-10 06:00:07.758396 INFO::Creating boxplot for categorical data, diagnosis vs F898
## 2026-07-10 06:00:08.004326 INFO::Creating boxplot for categorical data, diagnosis vs F402
## 2026-07-10 06:00:08.221833 INFO::Creating boxplot for categorical data, diagnosis vs F71
## 2026-07-10 06:00:08.462613 INFO::Creating boxplot for categorical data, diagnosis vs F99
## 2026-07-10 06:00:08.6851 INFO::Creating boxplot for categorical data, diagnosis vs F188
## 2026-07-10 06:00:08.924124 INFO::Creating boxplot for categorical data, diagnosis vs F366
## 2026-07-10 06:00:09.140687 INFO::Creating boxplot for categorical data, diagnosis vs F778
## 2026-07-10 06:00:09.368129 INFO::Creating boxplot for categorical data, diagnosis vs F857
## 2026-07-10 06:00:09.597123 INFO::Creating boxplot for categorical data, diagnosis vs F440
## 2026-07-10 06:00:09.81174 INFO::Creating boxplot for categorical data, diagnosis vs F799
## 2026-07-10 06:00:10.052763 INFO::Creating boxplot for categorical data, diagnosis vs F482
## 2026-07-10 06:00:10.268234 INFO::Creating boxplot for categorical data, diagnosis vs F212
## 2026-07-10 06:00:10.507694 INFO::Creating boxplot for categorical data, diagnosis vs F882
## 2026-07-10 06:00:10.725396 INFO::Creating boxplot for categorical data, diagnosis vs F599
## 2026-07-10 06:00:10.970957 INFO::Creating boxplot for categorical data, diagnosis vs F302
## 2026-07-10 06:00:11.186696 INFO::Creating boxplot for categorical data, diagnosis vs F543
## 2026-07-10 06:00:11.426824 INFO::Creating boxplot for categorical data, diagnosis vs F269
## 2026-07-10 06:00:11.642381 INFO::Creating boxplot for categorical data, diagnosis vs F650
## 2026-07-10 06:00:11.882658 INFO::Creating boxplot for categorical data, diagnosis vs F573
## 2026-07-10 06:00:12.096677 INFO::Creating boxplot for categorical data, diagnosis vs F8
## 2026-07-10 06:00:12.338132 INFO::Creating boxplot for categorical data, diagnosis vs F810
## 2026-07-10 06:00:12.554576 INFO::Creating boxplot for categorical data, diagnosis vs F456
## 2026-07-10 06:00:12.799653 INFO::Creating boxplot for categorical data, diagnosis vs F37
## 2026-07-10 06:00:13.01835 INFO::Creating boxplot for categorical data, diagnosis vs F401
## 2026-07-10 06:00:13.261468 INFO::Creating boxplot for categorical data, diagnosis vs F871
## 2026-07-10 06:00:13.482448 INFO::Creating boxplot for categorical data, diagnosis vs F606
## 2026-07-10 06:00:13.743371 INFO::Creating boxplot for categorical data, diagnosis vs F662
## 2026-07-10 06:00:13.959142 INFO::Creating boxplot for categorical data, diagnosis vs F887
## 2026-07-10 06:00:14.204321 INFO::Creating boxplot for categorical data, diagnosis vs F765
## 2026-07-10 06:00:14.421944 INFO::Creating boxplot for categorical data, diagnosis vs F770
## 2026-07-10 06:00:14.664148 INFO::Creating boxplot for categorical data, diagnosis vs F469
## 2026-07-10 06:00:14.883932 INFO::Creating boxplot for categorical data, diagnosis vs F86
## 2026-07-10 06:00:15.131946 INFO::Creating boxplot for categorical data, diagnosis vs F579
## 2026-07-10 06:00:15.350679 INFO::Creating boxplot for categorical data, diagnosis vs F400
## 2026-07-10 06:00:16.098535 INFO::Creating boxplot for categorical data, diagnosis vs F446
## 2026-07-10 06:00:16.296859 INFO::Creating boxplot for categorical data, diagnosis vs F321
## 2026-07-10 06:00:16.502014 INFO::Creating boxplot for categorical data, diagnosis vs F218
## 2026-07-10 06:00:16.699894 INFO::Creating boxplot for categorical data, diagnosis vs F141
## 2026-07-10 06:00:16.896966 INFO::Creating boxplot for categorical data, diagnosis vs F487
## 2026-07-10 06:00:17.104905 INFO::Creating boxplot for categorical data, diagnosis vs F740
## 2026-07-10 06:00:17.301244 INFO::Creating boxplot for categorical data, diagnosis vs F327
## 2026-07-10 06:00:17.505154 INFO::Creating boxplot for categorical data, diagnosis vs F196
## 2026-07-10 06:00:17.705695 INFO::Creating boxplot for categorical data, diagnosis vs F883
## 2026-07-10 06:00:17.910477 INFO::Creating boxplot for categorical data, diagnosis vs F279
## 2026-07-10 06:00:18.109007 INFO::Creating boxplot for categorical data, diagnosis vs F451
## 2026-07-10 06:00:18.313629 INFO::Creating boxplot for categorical data, diagnosis vs F838
## 2026-07-10 06:00:18.509495 INFO::Creating boxplot for categorical data, diagnosis vs F854
## 2026-07-10 06:00:18.714637 INFO::Creating boxplot for categorical data, diagnosis vs F434
## 2026-07-10 06:00:18.911551 INFO::Creating boxplot for categorical data, diagnosis vs F519
## 2026-07-10 06:00:19.109974 INFO::Creating boxplot for categorical data, diagnosis vs F694
## 2026-07-10 06:00:19.317375 INFO::Creating boxplot for categorical data, diagnosis vs F561
## 2026-07-10 06:00:19.520466 INFO::Creating boxplot for categorical data, diagnosis vs F10
## 2026-07-10 06:00:19.723246 INFO::Creating boxplot for categorical data, diagnosis vs F303
## 2026-07-10 06:00:19.919117 INFO::Creating boxplot for categorical data, diagnosis vs F645
## 2026-07-10 06:00:20.122216 INFO::Creating boxplot for categorical data, diagnosis vs F793
## 2026-07-10 06:00:20.321084 INFO::Creating boxplot for categorical data, diagnosis vs F404
## 2026-07-10 06:00:20.527584 INFO::Creating boxplot for categorical data, diagnosis vs F525
## 2026-07-10 06:00:20.727958 INFO::Creating boxplot for categorical data, diagnosis vs F362
## 2026-07-10 06:00:20.937445 INFO::Creating boxplot for categorical data, diagnosis vs F742
## 2026-07-10 06:00:21.133979 INFO::Creating boxplot for categorical data, diagnosis vs F276
## 2026-07-10 06:00:21.3408 INFO::Creating boxplot for categorical data, diagnosis vs F512
## 2026-07-10 06:00:21.540891 INFO::Creating boxplot for categorical data, diagnosis vs F499
## 2026-07-10 06:00:21.748423 INFO::Creating boxplot for categorical data, diagnosis vs F328
## 2026-07-10 06:00:21.950365 INFO::Creating boxplot for categorical data, diagnosis vs F787
## 2026-07-10 06:00:22.152064 INFO::Creating boxplot for categorical data, diagnosis vs F30
## 2026-07-10 06:00:22.355566 INFO::Creating boxplot for categorical data, diagnosis vs F122
## 2026-07-10 06:00:22.553803 INFO::Creating boxplot for categorical data, diagnosis vs F572
## 2026-07-10 06:00:22.760314 INFO::Creating boxplot for categorical data, diagnosis vs F619
## 2026-07-10 06:00:22.960852 INFO::Creating boxplot for categorical data, diagnosis vs F570
## 2026-07-10 06:00:23.165544 INFO::Creating boxplot for categorical data, diagnosis vs F47
## 2026-07-10 06:00:23.366501 INFO::Creating boxplot for categorical data, diagnosis vs F26
## 2026-07-10 06:00:23.573714 INFO::Creating boxplot for categorical data, diagnosis vs F252
## 2026-07-10 06:00:23.775245 INFO::Creating boxplot for categorical data, diagnosis vs F117
## 2026-07-10 06:00:23.978122 INFO::Creating boxplot for categorical data, diagnosis vs F395
## 2026-07-10 06:00:24.177408 INFO::Creating boxplot for categorical data, diagnosis vs F683
## 2026-07-10 06:00:24.377611 INFO::Creating boxplot for categorical data, diagnosis vs F822
## 2026-07-10 06:00:24.574336 INFO::Creating boxplot for categorical data, diagnosis vs F46
## 2026-07-10 06:00:24.774058 INFO::Creating boxplot for categorical data, diagnosis vs F154
## 2026-07-10 06:00:24.97447 INFO::Creating boxplot for categorical data, diagnosis vs F884
## 2026-07-10 06:00:25.227862 INFO::Creating boxplot for categorical data, diagnosis vs F540
## 2026-07-10 06:00:25.432216 INFO::Creating boxplot for categorical data, diagnosis vs F368
## 2026-07-10 06:00:25.64826 INFO::Creating boxplot for categorical data, diagnosis vs F607
## 2026-07-10 06:00:25.851811 INFO::Creating boxplot for categorical data, diagnosis vs F111
## 2026-07-10 06:00:26.066107 INFO::Creating boxplot for categorical data, diagnosis vs F745
## 2026-07-10 06:00:26.270004 INFO::Creating boxplot for categorical data, diagnosis vs F673
## 2026-07-10 06:00:26.484445 INFO::Creating boxplot for categorical data, diagnosis vs F92
## 2026-07-10 06:00:26.690122 INFO::Creating boxplot for categorical data, diagnosis vs F493
## 2026-07-10 06:00:26.889663 INFO::Creating boxplot for categorical data, diagnosis vs F518
## 2026-07-10 06:00:27.103672 INFO::Creating boxplot for categorical data, diagnosis vs F835
## 2026-07-10 06:00:27.305306 INFO::Creating boxplot for categorical data, diagnosis vs F872
## 2026-07-10 06:00:27.521622 INFO::Creating boxplot for categorical data, diagnosis vs F879
## 2026-07-10 06:00:27.722108 INFO::Creating boxplot for categorical data, diagnosis vs F432
## 2026-07-10 06:00:27.941476 INFO::Creating boxplot for categorical data, diagnosis vs F44
## 2026-07-10 06:00:28.147403 INFO::Creating boxplot for categorical data, diagnosis vs F819
## 2026-07-10 06:00:28.364633 INFO::Creating boxplot for categorical data, diagnosis vs F411
## 2026-07-10 06:00:28.56898 INFO::Creating boxplot for categorical data, diagnosis vs F353
## 2026-07-10 06:00:28.783353 INFO::Creating boxplot for categorical data, diagnosis vs F763
## 2026-07-10 06:00:28.9866 INFO::Creating boxplot for categorical data, diagnosis vs F40
## 2026-07-10 06:00:29.19864 INFO::Creating boxplot for categorical data, diagnosis vs F97
## 2026-07-10 06:00:29.403415 INFO::Creating boxplot for categorical data, diagnosis vs F240
## 2026-07-10 06:00:29.602921 INFO::Creating boxplot for categorical data, diagnosis vs F652
## 2026-07-10 06:00:29.821912 INFO::Creating boxplot for categorical data, diagnosis vs F789
## 2026-07-10 06:00:30.023588 INFO::Creating boxplot for categorical data, diagnosis vs F256
## 2026-07-10 06:00:30.241886 INFO::Creating boxplot for categorical data, diagnosis vs F25
## 2026-07-10 06:00:30.441825 INFO::Creating boxplot for categorical data, diagnosis vs F423
## 2026-07-10 06:00:30.657492 INFO::Creating boxplot for categorical data, diagnosis vs F594
## 2026-07-10 06:00:30.858346 INFO::Creating boxplot for categorical data, diagnosis vs F201
## 2026-07-10 06:00:31.079394 INFO::Creating boxplot for categorical data, diagnosis vs F813
## 2026-07-10 06:00:31.282925 INFO::Creating boxplot for categorical data, diagnosis vs F653
## 2026-07-10 06:00:31.499109 INFO::Creating boxplot for categorical data, diagnosis vs F524
## 2026-07-10 06:00:31.700414 INFO::Creating boxplot for categorical data, diagnosis vs F777
## 2026-07-10 06:00:31.91494 INFO::Creating boxplot for categorical data, diagnosis vs F226
## 2026-07-10 06:00:32.119202 INFO::Creating boxplot for categorical data, diagnosis vs F227
## 2026-07-10 06:00:32.335523 INFO::Creating boxplot for categorical data, diagnosis vs F521
## 2026-07-10 06:00:32.538271 INFO::Creating boxplot for categorical data, diagnosis vs F310
## 2026-07-10 06:00:32.75602 INFO::Creating boxplot for categorical data, diagnosis vs F452
## 2026-07-10 06:00:32.961213 INFO::Creating boxplot for categorical data, diagnosis vs F14
## 2026-07-10 06:00:33.177583 INFO::Creating boxplot for categorical data, diagnosis vs F52
## 2026-07-10 06:00:33.382519 INFO::Creating boxplot for categorical data, diagnosis vs F53
## 2026-07-10 06:00:33.600328 INFO::Creating boxplot for categorical data, diagnosis vs F844
## 2026-07-10 06:00:33.804225 INFO::Creating boxplot for categorical data, diagnosis vs F31
## 2026-07-10 06:00:34.021342 INFO::Creating boxplot for categorical data, diagnosis vs F766
## 2026-07-10 06:00:34.226554 INFO::Creating boxplot for categorical data, diagnosis vs F795
## 2026-07-10 06:00:34.480681 INFO::Creating boxplot for categorical data, diagnosis vs F342
## 2026-07-10 06:00:34.688141 INFO::Creating boxplot for categorical data, diagnosis vs F282
## 2026-07-10 06:00:34.913167 INFO::Creating boxplot for categorical data, diagnosis vs F508
## 2026-07-10 06:00:35.12276 INFO::Creating boxplot for categorical data, diagnosis vs F408
## 2026-07-10 06:00:35.342321 INFO::Creating boxplot for categorical data, diagnosis vs F805
## 2026-07-10 06:00:35.562238 INFO::Creating boxplot for categorical data, diagnosis vs F337
## 2026-07-10 06:00:35.776558 INFO::Creating boxplot for categorical data, diagnosis vs F820
## 2026-07-10 06:00:36.006959 INFO::Creating boxplot for categorical data, diagnosis vs F593
## 2026-07-10 06:00:36.220566 INFO::Creating boxplot for categorical data, diagnosis vs F459
## 2026-07-10 06:00:36.442312 INFO::Creating boxplot for categorical data, diagnosis vs F701
## 2026-07-10 06:00:36.647708 INFO::Creating boxplot for categorical data, diagnosis vs F142
## 2026-07-10 06:00:36.873284 INFO::Creating boxplot for categorical data, diagnosis vs F305
## 2026-07-10 06:00:37.084058 INFO::Creating boxplot for categorical data, diagnosis vs F534
## 2026-07-10 06:00:37.311157 INFO::Creating boxplot for categorical data, diagnosis vs F135
## 2026-07-10 06:00:37.517083 INFO::Creating boxplot for categorical data, diagnosis vs F702
## 2026-07-10 06:00:37.734709 INFO::Creating boxplot for categorical data, diagnosis vs F776
## 2026-07-10 06:00:37.950793 INFO::Creating boxplot for categorical data, diagnosis vs F295
## 2026-07-10 06:00:38.159574 INFO::Creating boxplot for categorical data, diagnosis vs F355
## 2026-07-10 06:00:38.385997 INFO::Creating boxplot for categorical data, diagnosis vs F797
## 2026-07-10 06:00:38.592921 INFO::Creating boxplot for categorical data, diagnosis vs F13
## 2026-07-10 06:00:38.824786 INFO::Creating boxplot for categorical data, diagnosis vs F356
## 2026-07-10 06:00:39.041407 INFO::Creating boxplot for categorical data, diagnosis vs F359
## 2026-07-10 06:00:39.270842 INFO::Creating boxplot for categorical data, diagnosis vs F121
## 2026-07-10 06:00:39.481297 INFO::Creating boxplot for categorical data, diagnosis vs F850
## 2026-07-10 06:00:39.710213 INFO::Creating boxplot for categorical data, diagnosis vs F899
## 2026-07-10 06:00:39.917956 INFO::Creating boxplot for categorical data, diagnosis vs F628
## 2026-07-10 06:00:40.141268 INFO::Creating boxplot for categorical data, diagnosis vs F107
## 2026-07-10 06:00:40.34728 INFO::Creating boxplot for categorical data, diagnosis vs F287
## 2026-07-10 06:00:40.57411 INFO::Creating boxplot for categorical data, diagnosis vs F557
## 2026-07-10 06:00:40.781492 INFO::Creating boxplot for categorical data, diagnosis vs F165
## 2026-07-10 06:00:41.008927 INFO::Creating boxplot for categorical data, diagnosis vs F127
## 2026-07-10 06:00:41.217155 INFO::Creating boxplot for categorical data, diagnosis vs F299
## 2026-07-10 06:00:41.447679 INFO::Creating boxplot for categorical data, diagnosis vs F497
## 2026-07-10 06:00:41.659092 INFO::Creating boxplot for categorical data, diagnosis vs F711
## 2026-07-10 06:00:41.890328 INFO::Creating boxplot for categorical data, diagnosis vs F319
## 2026-07-10 06:00:42.098673 INFO::Creating boxplot for categorical data, diagnosis vs F271
## 2026-07-10 06:00:42.324241 INFO::Creating boxplot for categorical data, diagnosis vs F157
## 2026-07-10 06:00:42.527838 INFO::Creating boxplot for categorical data, diagnosis vs F560
## 2026-07-10 06:00:42.756128 INFO::Creating boxplot for categorical data, diagnosis vs F680
## 2026-07-10 06:00:42.965893 INFO::Creating boxplot for categorical data, diagnosis vs F580
## 2026-07-10 06:00:43.196828 INFO::Creating boxplot for categorical data, diagnosis vs F152
## 2026-07-10 06:00:43.404821 INFO::Creating boxplot for categorical data, diagnosis vs F12
## 2026-07-10 06:00:43.631749 INFO::Creating boxplot for categorical data, diagnosis vs F324
## 2026-07-10 06:00:43.838608 INFO::Creating boxplot for categorical data, diagnosis vs F893
## 2026-07-10 06:00:44.117647 INFO::Creating boxplot for categorical data, diagnosis vs F318
## 2026-07-10 06:00:44.328598 INFO::Creating boxplot for categorical data, diagnosis vs F784
## 2026-07-10 06:00:44.557542 INFO::Creating boxplot for categorical data, diagnosis vs F567
## 2026-07-10 06:00:44.772696 INFO::Creating boxplot for categorical data, diagnosis vs F457
## 2026-07-10 06:00:44.983332 INFO::Creating boxplot for categorical data, diagnosis vs F708
## 2026-07-10 06:00:45.214009 INFO::Creating boxplot for categorical data, diagnosis vs F669
## 2026-07-10 06:00:45.422126 INFO::Creating boxplot for categorical data, diagnosis vs F87
## 2026-07-10 06:00:45.65328 INFO::Creating boxplot for categorical data, diagnosis vs F730
## 2026-07-10 06:00:48.064788 INFO::Plotting data for metadata number 2, antibiotics
## 2026-07-10 06:00:48.066285 INFO::Creating boxplot for categorical data, antibiotics vs F663
## 2026-07-10 06:00:48.30216 INFO::Creating boxplot for categorical data, antibiotics vs F838
## 2026-07-10 06:00:48.520055 INFO::Creating boxplot for categorical data, antibiotics vs F764
## 2026-07-10 06:00:48.757577 INFO::Creating boxplot for categorical data, antibiotics vs F880
## 2026-07-10 06:00:48.977373 INFO::Creating boxplot for categorical data, antibiotics vs F751
## 2026-07-10 06:00:49.225703 INFO::Creating boxplot for categorical data, antibiotics vs F288
## 2026-07-10 06:00:49.450051 INFO::Creating boxplot for categorical data, antibiotics vs F65
## 2026-07-10 06:00:49.690522 INFO::Creating boxplot for categorical data, antibiotics vs F742
## 2026-07-10 06:00:49.908513 INFO::Creating boxplot for categorical data, antibiotics vs F528
## 2026-07-10 06:00:50.148093 INFO::Creating boxplot for categorical data, antibiotics vs F790
## 2026-07-10 06:00:50.366189 INFO::Creating boxplot for categorical data, antibiotics vs F777
## 2026-07-10 06:00:50.604895 INFO::Creating boxplot for categorical data, antibiotics vs F178
## 2026-07-10 06:00:50.826102 INFO::Creating boxplot for categorical data, antibiotics vs F139
## 2026-07-10 06:00:51.064469 INFO::Creating boxplot for categorical data, antibiotics vs F202
## 2026-07-10 06:00:51.286873 INFO::Creating boxplot for categorical data, antibiotics vs F220
## 2026-07-10 06:00:51.525999 INFO::Creating boxplot for categorical data, antibiotics vs F397
## 2026-07-10 06:00:51.746053 INFO::Creating boxplot for categorical data, antibiotics vs F882
## 2026-07-10 06:00:51.982754 INFO::Creating boxplot for categorical data, antibiotics vs F446
## 2026-07-10 06:00:52.20023 INFO::Creating boxplot for categorical data, antibiotics vs F418
## 2026-07-10 06:00:52.438001 INFO::Creating boxplot for categorical data, antibiotics vs F133
## 2026-07-10 06:00:52.655552 INFO::Creating boxplot for categorical data, antibiotics vs F696
## 2026-07-10 06:00:52.891361 INFO::Creating boxplot for categorical data, antibiotics vs F548
## 2026-07-10 06:00:53.11227 INFO::Creating boxplot for categorical data, antibiotics vs F536
## 2026-07-10 06:00:53.352411 INFO::Creating boxplot for categorical data, antibiotics vs F194
## 2026-07-10 06:00:53.584091 INFO::Creating boxplot for categorical data, antibiotics vs F34
## 2026-07-10 06:00:53.810469 INFO::Creating boxplot for categorical data, antibiotics vs F153
## 2026-07-10 06:00:54.046278 INFO::Creating boxplot for categorical data, antibiotics vs F400
## 2026-07-10 06:00:54.267584 INFO::Creating boxplot for categorical data, antibiotics vs F794
## 2026-07-10 06:00:54.555329 INFO::Creating boxplot for categorical data, antibiotics vs F396
## 2026-07-10 06:00:54.777983 INFO::Creating boxplot for categorical data, antibiotics vs F182
## 2026-07-10 06:00:55.033172 INFO::Creating boxplot for categorical data, antibiotics vs F719
## 2026-07-10 06:00:55.26553 INFO::Creating boxplot for categorical data, antibiotics vs F180
## 2026-07-10 06:00:55.510848 INFO::Creating boxplot for categorical data, antibiotics vs F552
## 2026-07-10 06:00:55.737167 INFO::Creating boxplot for categorical data, antibiotics vs F789
## 2026-07-10 06:00:55.981036 INFO::Creating boxplot for categorical data, antibiotics vs F893
## 2026-07-10 06:00:56.214936 INFO::Creating boxplot for categorical data, antibiotics vs F834
## 2026-07-10 06:00:56.457371 INFO::Creating boxplot for categorical data, antibiotics vs F889
## 2026-07-10 06:00:56.692258 INFO::Creating boxplot for categorical data, antibiotics vs F143
## 2026-07-10 06:00:56.93052 INFO::Creating boxplot for categorical data, antibiotics vs F224
## 2026-07-10 06:00:57.167218 INFO::Creating boxplot for categorical data, antibiotics vs F109
## 2026-07-10 06:00:57.409801 INFO::Creating boxplot for categorical data, antibiotics vs F5
## 2026-07-10 06:00:57.643178 INFO::Creating boxplot for categorical data, antibiotics vs F873
## 2026-07-10 06:00:57.885819 INFO::Creating boxplot for categorical data, antibiotics vs F681
## 2026-07-10 06:00:58.11483 INFO::Creating boxplot for categorical data, antibiotics vs F452
## 2026-07-10 06:00:58.358685 INFO::Creating boxplot for categorical data, antibiotics vs F468
## 2026-07-10 06:00:58.590661 INFO::Creating boxplot for categorical data, antibiotics vs F731
## 2026-07-10 06:00:58.837614 INFO::Creating boxplot for categorical data, antibiotics vs F479
## 2026-07-10 06:00:59.063273 INFO::Creating boxplot for categorical data, antibiotics vs F520
## 2026-07-10 06:00:59.317767 INFO::Creating boxplot for categorical data, antibiotics vs F649
## 2026-07-10 06:00:59.537207 INFO::Creating boxplot for categorical data, antibiotics vs F259
## 2026-07-10 06:00:59.78437 INFO::Creating boxplot for categorical data, antibiotics vs F186
## 2026-07-10 06:01:00.00798 INFO::Creating boxplot for categorical data, antibiotics vs F477
## 2026-07-10 06:01:00.261102 INFO::Creating boxplot for categorical data, antibiotics vs F312
## 2026-07-10 06:01:00.486582 INFO::Creating boxplot for categorical data, antibiotics vs F4
## 2026-07-10 06:01:00.744659 INFO::Creating boxplot for categorical data, antibiotics vs F632
## 2026-07-10 06:01:00.965491 INFO::Creating boxplot for categorical data, antibiotics vs F31
## 2026-07-10 06:01:01.21046 INFO::Creating boxplot for categorical data, antibiotics vs F184
## 2026-07-10 06:01:01.429255 INFO::Creating boxplot for categorical data, antibiotics vs F7
## 2026-07-10 06:01:01.677134 INFO::Creating boxplot for categorical data, antibiotics vs F213
## 2026-07-10 06:01:01.913322 INFO::Creating boxplot for categorical data, antibiotics vs F828
## 2026-07-10 06:01:02.157328 INFO::Creating boxplot for categorical data, antibiotics vs F831
## 2026-07-10 06:01:02.399133 INFO::Creating boxplot for categorical data, antibiotics vs F315
## 2026-07-10 06:01:02.626186 INFO::Creating boxplot for categorical data, antibiotics vs F691
## 2026-07-10 06:01:02.871199 INFO::Creating boxplot for categorical data, antibiotics vs F159
## 2026-07-10 06:01:03.093211 INFO::Creating boxplot for categorical data, antibiotics vs F331
## 2026-07-10 06:01:03.342083 INFO::Creating boxplot for categorical data, antibiotics vs F757
## 2026-07-10 06:01:03.564596 INFO::Creating boxplot for categorical data, antibiotics vs F167
## 2026-07-10 06:01:03.811322 INFO::Creating boxplot for categorical data, antibiotics vs F85
## 2026-07-10 06:01:04.098441 INFO::Creating boxplot for categorical data, antibiotics vs F80
## 2026-07-10 06:01:04.340801 INFO::Creating boxplot for categorical data, antibiotics vs F105
## 2026-07-10 06:01:04.568373 INFO::Creating boxplot for categorical data, antibiotics vs F674
## 2026-07-10 06:01:04.819785 INFO::Creating boxplot for categorical data, antibiotics vs F50
## 2026-07-10 06:01:05.04369 INFO::Creating boxplot for categorical data, antibiotics vs F164
## 2026-07-10 06:01:05.297834 INFO::Creating boxplot for categorical data, antibiotics vs F840
## 2026-07-10 06:01:05.522653 INFO::Creating boxplot for categorical data, antibiotics vs F232
## 2026-07-10 06:01:05.781027 INFO::Creating boxplot for categorical data, antibiotics vs F872
## 2026-07-10 06:01:06.002449 INFO::Creating boxplot for categorical data, antibiotics vs F54
## 2026-07-10 06:01:06.258427 INFO::Creating boxplot for categorical data, antibiotics vs F365
## 2026-07-10 06:01:06.481547 INFO::Creating boxplot for categorical data, antibiotics vs F499
## 2026-07-10 06:01:06.732254 INFO::Creating boxplot for categorical data, antibiotics vs F510
## 2026-07-10 06:01:06.956014 INFO::Creating boxplot for categorical data, antibiotics vs F716
## 2026-07-10 06:01:07.208689 INFO::Creating boxplot for categorical data, antibiotics vs F454
## 2026-07-10 06:01:07.434374 INFO::Creating boxplot for categorical data, antibiotics vs F52
## 2026-07-10 06:01:07.687704 INFO::Creating boxplot for categorical data, antibiotics vs F273
## 2026-07-10 06:01:07.90984 INFO::Creating boxplot for categorical data, antibiotics vs F474
## 2026-07-10 06:01:08.157426 INFO::Creating boxplot for categorical data, antibiotics vs F267
## 2026-07-10 06:01:08.38189 INFO::Creating boxplot for categorical data, antibiotics vs F253
## 2026-07-10 06:01:08.629824 INFO::Creating boxplot for categorical data, antibiotics vs F247
## 2026-07-10 06:01:08.859488 INFO::Creating boxplot for categorical data, antibiotics vs F708
## 2026-07-10 06:01:09.101663 INFO::Creating boxplot for categorical data, antibiotics vs F438
## 2026-07-10 06:01:09.334268 INFO::Creating boxplot for categorical data, antibiotics vs F450
## 2026-07-10 06:01:09.570154 INFO::Creating boxplot for categorical data, antibiotics vs F666
## 2026-07-10 06:01:09.807161 INFO::Creating boxplot for categorical data, antibiotics vs F720
## 2026-07-10 06:01:10.034482 INFO::Creating boxplot for categorical data, antibiotics vs F48
## 2026-07-10 06:01:10.28257 INFO::Creating boxplot for categorical data, antibiotics vs F371
## 2026-07-10 06:01:10.510801 INFO::Creating boxplot for categorical data, antibiotics vs F423
## 2026-07-10 06:01:10.766521 INFO::Creating boxplot for categorical data, antibiotics vs F351
## 2026-07-10 06:01:10.993906 INFO::Creating boxplot for categorical data, antibiotics vs F190
## 2026-07-10 06:01:11.247635 INFO::Creating boxplot for categorical data, antibiotics vs F394
## 2026-07-10 06:01:11.469306 INFO::Creating boxplot for categorical data, antibiotics vs F581
## 2026-07-10 06:01:11.715492 INFO::Creating boxplot for categorical data, antibiotics vs F276
## 2026-07-10 06:01:11.939387 INFO::Creating boxplot for categorical data, antibiotics vs F608
## 2026-07-10 06:01:12.192497 INFO::Creating boxplot for categorical data, antibiotics vs F28
## 2026-07-10 06:01:12.422958 INFO::Creating boxplot for categorical data, antibiotics vs F805
## 2026-07-10 06:01:12.66917 INFO::Creating boxplot for categorical data, antibiotics vs F776
## 2026-07-10 06:01:12.910766 INFO::Creating boxplot for categorical data, antibiotics vs F249
## 2026-07-10 06:01:13.145436 INFO::Creating boxplot for categorical data, antibiotics vs F755
## 2026-07-10 06:01:13.393142 INFO::Creating boxplot for categorical data, antibiotics vs F68
## 2026-07-10 06:01:13.61898 INFO::Creating boxplot for categorical data, antibiotics vs F78
## 2026-07-10 06:01:14.378748 INFO::Creating boxplot for categorical data, antibiotics vs F644
## 2026-07-10 06:01:14.586108 INFO::Creating boxplot for categorical data, antibiotics vs F381
## 2026-07-10 06:01:14.801478 INFO::Creating boxplot for categorical data, antibiotics vs F358
## 2026-07-10 06:01:15.008574 INFO::Creating boxplot for categorical data, antibiotics vs F344
## 2026-07-10 06:01:15.222237 INFO::Creating boxplot for categorical data, antibiotics vs F898
## 2026-07-10 06:01:15.426065 INFO::Creating boxplot for categorical data, antibiotics vs F209
## 2026-07-10 06:01:15.63876 INFO::Creating boxplot for categorical data, antibiotics vs F51
## 2026-07-10 06:01:15.840901 INFO::Creating boxplot for categorical data, antibiotics vs F149
## 2026-07-10 06:01:16.046109 INFO::Creating boxplot for categorical data, antibiotics vs F108
## 2026-07-10 06:01:16.257662 INFO::Creating boxplot for categorical data, antibiotics vs F255
## 2026-07-10 06:01:16.463387 INFO::Creating boxplot for categorical data, antibiotics vs F823
## 2026-07-10 06:01:16.676531 INFO::Creating boxplot for categorical data, antibiotics vs F864
## 2026-07-10 06:01:16.8838 INFO::Creating boxplot for categorical data, antibiotics vs F214
## 2026-07-10 06:01:17.098517 INFO::Creating boxplot for categorical data, antibiotics vs F76
## 2026-07-10 06:01:17.307104 INFO::Creating boxplot for categorical data, antibiotics vs F575
## 2026-07-10 06:01:17.518904 INFO::Creating boxplot for categorical data, antibiotics vs F13
## 2026-07-10 06:01:17.728411 INFO::Creating boxplot for categorical data, antibiotics vs F389
## 2026-07-10 06:01:17.942602 INFO::Creating boxplot for categorical data, antibiotics vs F556
## 2026-07-10 06:01:18.149857 INFO::Creating boxplot for categorical data, antibiotics vs F49
## 2026-07-10 06:01:18.363315 INFO::Creating boxplot for categorical data, antibiotics vs F436
## 2026-07-10 06:01:18.56977 INFO::Creating boxplot for categorical data, antibiotics vs F378
## 2026-07-10 06:01:18.783132 INFO::Creating boxplot for categorical data, antibiotics vs F682
## 2026-07-10 06:01:18.988388 INFO::Creating boxplot for categorical data, antibiotics vs F47
## 2026-07-10 06:01:19.199535 INFO::Creating boxplot for categorical data, antibiotics vs F429
## 2026-07-10 06:01:19.406309 INFO::Creating boxplot for categorical data, antibiotics vs F588
## 2026-07-10 06:01:19.620519 INFO::Creating boxplot for categorical data, antibiotics vs F616
## 2026-07-10 06:01:19.826377 INFO::Creating boxplot for categorical data, antibiotics vs F323
## 2026-07-10 06:01:20.044271 INFO::Creating boxplot for categorical data, antibiotics vs F409
## 2026-07-10 06:01:20.250586 INFO::Creating boxplot for categorical data, antibiotics vs F326
## 2026-07-10 06:01:20.46877 INFO::Creating boxplot for categorical data, antibiotics vs F567
## 2026-07-10 06:01:20.676193 INFO::Creating boxplot for categorical data, antibiotics vs F698
## 2026-07-10 06:01:20.893801 INFO::Creating boxplot for categorical data, antibiotics vs F179
## 2026-07-10 06:01:21.104749 INFO::Creating boxplot for categorical data, antibiotics vs F79
## 2026-07-10 06:01:21.316339 INFO::Creating boxplot for categorical data, antibiotics vs F787
## 2026-07-10 06:01:21.522264 INFO::Creating boxplot for categorical data, antibiotics vs F335
## 2026-07-10 06:01:21.736446 INFO::Creating boxplot for categorical data, antibiotics vs F576
## 2026-07-10 06:01:21.941301 INFO::Creating boxplot for categorical data, antibiotics vs F667
## 2026-07-10 06:01:22.153925 INFO::Creating boxplot for categorical data, antibiotics vs F694
## 2026-07-10 06:01:22.364891 INFO::Creating boxplot for categorical data, antibiotics vs F297
## 2026-07-10 06:01:22.577514 INFO::Creating boxplot for categorical data, antibiotics vs F569
## 2026-07-10 06:01:22.783773 INFO::Creating boxplot for categorical data, antibiotics vs F611
## 2026-07-10 06:01:22.994676 INFO::Creating boxplot for categorical data, antibiotics vs F810
## 2026-07-10 06:01:23.200317 INFO::Creating boxplot for categorical data, antibiotics vs F746
## 2026-07-10 06:01:23.467662 INFO::Creating boxplot for categorical data, antibiotics vs F23
## 2026-07-10 06:01:23.679553 INFO::Creating boxplot for categorical data, antibiotics vs F138
## 2026-07-10 06:01:23.902803 INFO::Creating boxplot for categorical data, antibiotics vs F135
## 2026-07-10 06:01:24.112839 INFO::Creating boxplot for categorical data, antibiotics vs F411
## 2026-07-10 06:01:24.335126 INFO::Creating boxplot for categorical data, antibiotics vs F489
## 2026-07-10 06:01:24.544636 INFO::Creating boxplot for categorical data, antibiotics vs F492
## 2026-07-10 06:01:24.766408 INFO::Creating boxplot for categorical data, antibiotics vs F844
## 2026-07-10 06:01:24.97759 INFO::Creating boxplot for categorical data, antibiotics vs F586
## 2026-07-10 06:01:25.202339 INFO::Creating boxplot for categorical data, antibiotics vs F11
## 2026-07-10 06:01:25.415267 INFO::Creating boxplot for categorical data, antibiotics vs F900
## 2026-07-10 06:01:25.641598 INFO::Creating boxplot for categorical data, antibiotics vs F21
## 2026-07-10 06:01:25.853132 INFO::Creating boxplot for categorical data, antibiotics vs F736
## 2026-07-10 06:01:26.075561 INFO::Creating boxplot for categorical data, antibiotics vs F66
## 2026-07-10 06:01:26.288969 INFO::Creating boxplot for categorical data, antibiotics vs F408
## 2026-07-10 06:01:26.511807 INFO::Creating boxplot for categorical data, antibiotics vs F788
## 2026-07-10 06:01:26.729707 INFO::Creating boxplot for categorical data, antibiotics vs F493
## 2026-07-10 06:01:26.950197 INFO::Creating boxplot for categorical data, antibiotics vs F343
## 2026-07-10 06:01:27.17141 INFO::Creating boxplot for categorical data, antibiotics vs F352
## 2026-07-10 06:01:27.37836 INFO::Creating boxplot for categorical data, antibiotics vs F677
## 2026-07-10 06:01:27.604513 INFO::Creating boxplot for categorical data, antibiotics vs F816
## 2026-07-10 06:01:27.814264 INFO::Creating boxplot for categorical data, antibiotics vs F457
## 2026-07-10 06:01:28.040169 INFO::Creating boxplot for categorical data, antibiotics vs F330
## 2026-07-10 06:01:28.248358 INFO::Creating boxplot for categorical data, antibiotics vs F293
## 2026-07-10 06:01:28.476428 INFO::Creating boxplot for categorical data, antibiotics vs F725
## 2026-07-10 06:01:28.684504 INFO::Creating boxplot for categorical data, antibiotics vs F813
## 2026-07-10 06:01:28.910594 INFO::Creating boxplot for categorical data, antibiotics vs F295
## 2026-07-10 06:01:29.120435 INFO::Creating boxplot for categorical data, antibiotics vs F656
## 2026-07-10 06:01:29.346021 INFO::Creating boxplot for categorical data, antibiotics vs F669
## 2026-07-10 06:01:29.557436 INFO::Creating boxplot for categorical data, antibiotics vs F15
## 2026-07-10 06:01:29.781114 INFO::Creating boxplot for categorical data, antibiotics vs F419
## 2026-07-10 06:01:29.989244 INFO::Creating boxplot for categorical data, antibiotics vs F701
## 2026-07-10 06:01:30.217234 INFO::Creating boxplot for categorical data, antibiotics vs F176
## 2026-07-10 06:01:30.42667 INFO::Creating boxplot for categorical data, antibiotics vs F203
## 2026-07-10 06:01:30.6517 INFO::Creating boxplot for categorical data, antibiotics vs F501
## 2026-07-10 06:01:30.86621 INFO::Creating boxplot for categorical data, antibiotics vs F772
## 2026-07-10 06:01:31.08136 INFO::Creating boxplot for categorical data, antibiotics vs F488
## 2026-07-10 06:01:31.301178 INFO::Creating boxplot for categorical data, antibiotics vs F600
## 2026-07-10 06:01:31.514021 INFO::Creating boxplot for categorical data, antibiotics vs F768
## 2026-07-10 06:01:31.735322 INFO::Creating boxplot for categorical data, antibiotics vs F432
## 2026-07-10 06:01:31.947312 INFO::Creating boxplot for categorical data, antibiotics vs F26
## 2026-07-10 06:01:32.171564 INFO::Creating boxplot for categorical data, antibiotics vs F189
## 2026-07-10 06:01:32.382268 INFO::Creating boxplot for categorical data, antibiotics vs F200
## 2026-07-10 06:01:32.64842 INFO::Creating boxplot for categorical data, antibiotics vs F121
## 2026-07-10 06:01:32.864158 INFO::Creating boxplot for categorical data, antibiotics vs F624
## 2026-07-10 06:01:33.100916 INFO::Creating boxplot for categorical data, antibiotics vs F855
## 2026-07-10 06:01:33.320055 INFO::Creating boxplot for categorical data, antibiotics vs F380
## 2026-07-10 06:01:33.54341 INFO::Creating boxplot for categorical data, antibiotics vs F734
## 2026-07-10 06:01:33.768685 INFO::Creating boxplot for categorical data, antibiotics vs F16
## 2026-07-10 06:01:33.981202 INFO::Creating boxplot for categorical data, antibiotics vs F602
## 2026-07-10 06:01:34.224334 INFO::Creating boxplot for categorical data, antibiotics vs F210
## 2026-07-10 06:01:34.437488 INFO::Creating boxplot for categorical data, antibiotics vs F217
## 2026-07-10 06:01:34.671479 INFO::Creating boxplot for categorical data, antibiotics vs F640
## 2026-07-10 06:01:34.884217 INFO::Creating boxplot for categorical data, antibiotics vs F631
## 2026-07-10 06:01:35.119279 INFO::Creating boxplot for categorical data, antibiotics vs F32
## 2026-07-10 06:01:35.333801 INFO::Creating boxplot for categorical data, antibiotics vs F322
## 2026-07-10 06:01:35.568797 INFO::Creating boxplot for categorical data, antibiotics vs F476
## 2026-07-10 06:01:35.786581 INFO::Creating boxplot for categorical data, antibiotics vs F265
## 2026-07-10 06:01:36.020765 INFO::Creating boxplot for categorical data, antibiotics vs F283
## 2026-07-10 06:01:36.234961 INFO::Creating boxplot for categorical data, antibiotics vs F316
## 2026-07-10 06:01:36.469769 INFO::Creating boxplot for categorical data, antibiotics vs F465
## 2026-07-10 06:01:36.688354 INFO::Creating boxplot for categorical data, antibiotics vs F24
## 2026-07-10 06:01:36.925701 INFO::Creating boxplot for categorical data, antibiotics vs F38
## 2026-07-10 06:01:37.142648 INFO::Creating boxplot for categorical data, antibiotics vs F82
## 2026-07-10 06:01:37.375824 INFO::Creating boxplot for categorical data, antibiotics vs F86
## 2026-07-10 06:01:37.591097 INFO::Creating boxplot for categorical data, antibiotics vs F270
## 2026-07-10 06:01:37.823811 INFO::Creating boxplot for categorical data, antibiotics vs F485
## 2026-07-10 06:01:38.036633 INFO::Creating boxplot for categorical data, antibiotics vs F877
## 2026-07-10 06:01:38.269228 INFO::Creating boxplot for categorical data, antibiotics vs F486
## 2026-07-10 06:01:38.485215 INFO::Creating boxplot for categorical data, antibiotics vs F399
## 2026-07-10 06:01:38.721128 INFO::Creating boxplot for categorical data, antibiotics vs F573
## 2026-07-10 06:01:38.936506 INFO::Creating boxplot for categorical data, antibiotics vs F709
## 2026-07-10 06:01:39.170833 INFO::Creating boxplot for categorical data, antibiotics vs F227
## 2026-07-10 06:01:39.385376 INFO::Creating boxplot for categorical data, antibiotics vs F553
## 2026-07-10 06:01:39.621125 INFO::Creating boxplot for categorical data, antibiotics vs F123
## 2026-07-10 06:01:39.838288 INFO::Creating boxplot for categorical data, antibiotics vs F118
## 2026-07-10 06:01:40.076464 INFO::Creating boxplot for categorical data, antibiotics vs F605
## 2026-07-10 06:01:40.297085 INFO::Creating boxplot for categorical data, antibiotics vs F619
## 2026-07-10 06:01:40.533442 INFO::Creating boxplot for categorical data, antibiotics vs F830
## 2026-07-10 06:01:40.748744 INFO::Creating boxplot for categorical data, antibiotics vs F837
## 2026-07-10 06:01:40.981606 INFO::Creating boxplot for categorical data, antibiotics vs F12
## 2026-07-10 06:01:41.196111 INFO::Creating boxplot for categorical data, antibiotics vs F623
## 2026-07-10 06:01:41.434837 INFO::Creating boxplot for categorical data, antibiotics vs F806
## 2026-07-10 06:01:41.675615 INFO::Creating boxplot for categorical data, antibiotics vs F829
## 2026-07-10 06:01:41.911764 INFO::Creating boxplot for categorical data, antibiotics vs F289
## 2026-07-10 06:01:42.189375 INFO::Creating boxplot for categorical data, antibiotics vs F353
## 2026-07-10 06:01:42.416495 INFO::Creating boxplot for categorical data, antibiotics vs F93
## 2026-07-10 06:01:42.640339 INFO::Creating boxplot for categorical data, antibiotics vs F379
## 2026-07-10 06:01:42.884004 INFO::Creating boxplot for categorical data, antibiotics vs F370
## 2026-07-10 06:01:43.101058 INFO::Creating boxplot for categorical data, antibiotics vs F360
## 2026-07-10 06:01:43.335313 INFO::Creating boxplot for categorical data, antibiotics vs F710
## 2026-07-10 06:01:43.549848 INFO::Creating boxplot for categorical data, antibiotics vs F796
## 2026-07-10 06:01:43.783071 INFO::Creating boxplot for categorical data, antibiotics vs F388
## 2026-07-10 06:01:44.000526 INFO::Creating boxplot for categorical data, antibiotics vs F775
## 2026-07-10 06:01:44.241069 INFO::Creating boxplot for categorical data, antibiotics vs F174
## 2026-07-10 06:01:44.459684 INFO::Creating boxplot for categorical data, antibiotics vs F601
## 2026-07-10 06:01:44.694145 INFO::Creating boxplot for categorical data, antibiotics vs F836
## 2026-07-10 06:01:44.918448 INFO::Creating boxplot for categorical data, antibiotics vs F192
## 2026-07-10 06:01:45.154284 INFO::Creating boxplot for categorical data, antibiotics vs F463
## 2026-07-10 06:01:45.36743 INFO::Creating boxplot for categorical data, antibiotics vs F57
## 2026-07-10 06:01:45.605572 INFO::Creating boxplot for categorical data, antibiotics vs F658
## 2026-07-10 06:01:45.826103 INFO::Creating boxplot for categorical data, antibiotics vs F596
## 2026-07-10 06:01:46.056608 INFO::Creating boxplot for categorical data, antibiotics vs F104
## 2026-07-10 06:01:46.281039 INFO::Creating boxplot for categorical data, antibiotics vs F218
## 2026-07-10 06:01:46.513689 INFO::Creating boxplot for categorical data, antibiotics vs F466
## 2026-07-10 06:01:46.739471 INFO::Creating boxplot for categorical data, antibiotics vs F737
## 2026-07-10 06:01:46.964752 INFO::Creating boxplot for categorical data, antibiotics vs F487
## 2026-07-10 06:01:47.191951 INFO::Creating boxplot for categorical data, antibiotics vs F369
## 2026-07-10 06:01:47.413824 INFO::Creating boxplot for categorical data, antibiotics vs F584
## 2026-07-10 06:01:47.640851 INFO::Creating boxplot for categorical data, antibiotics vs F166
## 2026-07-10 06:01:47.866619 INFO::Creating boxplot for categorical data, antibiotics vs F822
## 2026-07-10 06:01:48.095944 INFO::Creating boxplot for categorical data, antibiotics vs F70
## 2026-07-10 06:01:48.32589 INFO::Creating boxplot for categorical data, antibiotics vs F243
## 2026-07-10 06:01:48.555255 INFO::Creating boxplot for categorical data, antibiotics vs F498
## 2026-07-10 06:01:48.786925 INFO::Creating boxplot for categorical data, antibiotics vs F272
## 2026-07-10 06:01:49.008043 INFO::Creating boxplot for categorical data, antibiotics vs F881
## 2026-07-10 06:01:49.237569 INFO::Creating boxplot for categorical data, antibiotics vs F761
## 2026-07-10 06:01:49.457603 INFO::Creating boxplot for categorical data, antibiotics vs F781
## 2026-07-10 06:01:49.693902 INFO::Creating boxplot for categorical data, antibiotics vs F697
## 2026-07-10 06:01:49.91075 INFO::Creating boxplot for categorical data, antibiotics vs F890
## 2026-07-10 06:01:50.145243 INFO::Creating boxplot for categorical data, antibiotics vs F197
## 2026-07-10 06:01:50.364216 INFO::Creating boxplot for categorical data, antibiotics vs F826
## 2026-07-10 06:01:50.60124 INFO::Creating boxplot for categorical data, antibiotics vs F641
## 2026-07-10 06:01:50.819898 INFO::Creating boxplot for categorical data, antibiotics vs F700
## 2026-07-10 06:01:51.055353 INFO::Creating boxplot for categorical data, antibiotics vs F280
## 2026-07-10 06:01:51.272777 INFO::Creating boxplot for categorical data, antibiotics vs F531
## 2026-07-10 06:01:51.505135 INFO::Creating boxplot for categorical data, antibiotics vs F660
## 2026-07-10 06:01:51.722085 INFO::Creating boxplot for categorical data, antibiotics vs F257
## 2026-07-10 06:01:52.005049 INFO::Creating boxplot for categorical data, antibiotics vs F136
## 2026-07-10 06:01:52.224007 INFO::Creating boxplot for categorical data, antibiotics vs F875
## 2026-07-10 06:01:52.468173 INFO::Creating boxplot for categorical data, antibiotics vs F160
## 2026-07-10 06:01:52.687773 INFO::Creating boxplot for categorical data, antibiotics vs F642
## 2026-07-10 06:01:52.935084 INFO::Creating boxplot for categorical data, antibiotics vs F782
## 2026-07-10 06:01:53.155656 INFO::Creating boxplot for categorical data, antibiotics vs F730
## 2026-07-10 06:01:53.398767 INFO::Creating boxplot for categorical data, antibiotics vs F679
## 2026-07-10 06:01:53.618333 INFO::Creating boxplot for categorical data, antibiotics vs F713
## 2026-07-10 06:01:53.855821 INFO::Creating boxplot for categorical data, antibiotics vs F821
## 2026-07-10 06:01:54.086035 INFO::Creating boxplot for categorical data, antibiotics vs F443
## 2026-07-10 06:01:54.315521 INFO::Creating boxplot for categorical data, antibiotics vs F25
## 2026-07-10 06:01:54.551482 INFO::Creating boxplot for categorical data, antibiotics vs F338
## 2026-07-10 06:01:54.770782 INFO::Creating boxplot for categorical data, antibiotics vs F647
## 2026-07-10 06:01:55.019764 INFO::Creating boxplot for categorical data, antibiotics vs F729
## 2026-07-10 06:01:55.239711 INFO::Creating boxplot for categorical data, antibiotics vs F817
## 2026-07-10 06:01:55.485663 INFO::Creating boxplot for categorical data, antibiotics vs F535
## 2026-07-10 06:01:55.708706 INFO::Creating boxplot for categorical data, antibiotics vs F634
## 2026-07-10 06:01:55.961827 INFO::Creating boxplot for categorical data, antibiotics vs F533
## 2026-07-10 06:01:56.180599 INFO::Creating boxplot for categorical data, antibiotics vs F571
## 2026-07-10 06:01:56.429551 INFO::Creating boxplot for categorical data, antibiotics vs F808
## 2026-07-10 06:01:56.650384 INFO::Creating boxplot for categorical data, antibiotics vs F529
## 2026-07-10 06:01:56.898347 INFO::Creating boxplot for categorical data, antibiotics vs F827
## 2026-07-10 06:01:57.118608 INFO::Creating boxplot for categorical data, antibiotics vs F107
## 2026-07-10 06:01:57.364105 INFO::Creating boxplot for categorical data, antibiotics vs F515
## 2026-07-10 06:01:57.582777 INFO::Creating boxplot for categorical data, antibiotics vs F305
## 2026-07-10 06:01:57.831156 INFO::Creating boxplot for categorical data, antibiotics vs F662
## 2026-07-10 06:01:58.051466 INFO::Creating boxplot for categorical data, antibiotics vs F310
## 2026-07-10 06:01:58.30698 INFO::Creating boxplot for categorical data, antibiotics vs F173
## 2026-07-10 06:01:58.52952 INFO::Creating boxplot for categorical data, antibiotics vs F820
## 2026-07-10 06:01:58.7845 INFO::Creating boxplot for categorical data, antibiotics vs F743
## 2026-07-10 06:01:59.006696 INFO::Creating boxplot for categorical data, antibiotics vs F63
## 2026-07-10 06:01:59.259305 INFO::Creating boxplot for categorical data, antibiotics vs F215
## 2026-07-10 06:01:59.47638 INFO::Creating boxplot for categorical data, antibiotics vs F216
## 2026-07-10 06:01:59.72438 INFO::Creating boxplot for categorical data, antibiotics vs F245
## 2026-07-10 06:01:59.953264 INFO::Creating boxplot for categorical data, antibiotics vs F430
## 2026-07-10 06:02:00.194715 INFO::Creating boxplot for categorical data, antibiotics vs F862
## 2026-07-10 06:02:00.430776 INFO::Creating boxplot for categorical data, antibiotics vs F541
## 2026-07-10 06:02:00.666586 INFO::Creating boxplot for categorical data, antibiotics vs F558
## 2026-07-10 06:02:00.91301 INFO::Creating boxplot for categorical data, antibiotics vs F633
## 2026-07-10 06:02:01.139152 INFO::Creating boxplot for categorical data, antibiotics vs F94
## 2026-07-10 06:02:01.389666 INFO::Creating boxplot for categorical data, antibiotics vs F238
## 2026-07-10 06:02:01.611982 INFO::Creating boxplot for categorical data, antibiotics vs F574
## 2026-07-10 06:02:01.915417 INFO::Creating boxplot for categorical data, antibiotics vs F815
## 2026-07-10 06:02:02.139804 INFO::Creating boxplot for categorical data, antibiotics vs F587
## 2026-07-10 06:02:02.385618 INFO::Creating boxplot for categorical data, antibiotics vs F464
## 2026-07-10 06:02:02.607675 INFO::Creating boxplot for categorical data, antibiotics vs F590
## 2026-07-10 06:02:02.848327 INFO::Creating boxplot for categorical data, antibiotics vs F124
## 2026-07-10 06:02:03.084005 INFO::Creating boxplot for categorical data, antibiotics vs F664
## 2026-07-10 06:02:03.317412 INFO::Creating boxplot for categorical data, antibiotics vs F100
## 2026-07-10 06:02:03.558643 INFO::Creating boxplot for categorical data, antibiotics vs F444
## 2026-07-10 06:02:03.782259 INFO::Creating boxplot for categorical data, antibiotics vs F147
## 2026-07-10 06:02:04.031062 INFO::Creating boxplot for categorical data, antibiotics vs F597
## 2026-07-10 06:02:04.257478 INFO::Creating boxplot for categorical data, antibiotics vs F650
## 2026-07-10 06:02:04.512764 INFO::Creating boxplot for categorical data, antibiotics vs F363
## 2026-07-10 06:02:04.735743 INFO::Creating boxplot for categorical data, antibiotics vs F521
## 2026-07-10 06:02:04.98507 INFO::Creating boxplot for categorical data, antibiotics vs F412
## 2026-07-10 06:02:05.210024 INFO::Creating boxplot for categorical data, antibiotics vs F279
## 2026-07-10 06:02:05.461326 INFO::Creating boxplot for categorical data, antibiotics vs F225
## 2026-07-10 06:02:05.688893 INFO::Creating boxplot for categorical data, antibiotics vs F10
## 2026-07-10 06:02:05.942047 INFO::Creating boxplot for categorical data, antibiotics vs F481
## 2026-07-10 06:02:06.162097 INFO::Creating boxplot for categorical data, antibiotics vs F861
## 2026-07-10 06:02:06.412478 INFO::Creating boxplot for categorical data, antibiotics vs F888
## 2026-07-10 06:02:06.633888 INFO::Creating boxplot for categorical data, antibiotics vs F156
## 2026-07-10 06:02:06.880497 INFO::Creating boxplot for categorical data, antibiotics vs F857
## 2026-07-10 06:02:07.105309 INFO::Creating boxplot for categorical data, antibiotics vs F294
## 2026-07-10 06:02:07.355211 INFO::Creating boxplot for categorical data, antibiotics vs F244
## 2026-07-10 06:02:07.577172 INFO::Creating boxplot for categorical data, antibiotics vs F514
## 2026-07-10 06:02:07.828778 INFO::Creating boxplot for categorical data, antibiotics vs F304
## 2026-07-10 06:02:08.051303 INFO::Creating boxplot for categorical data, antibiotics vs F509
## 2026-07-10 06:02:08.307079 INFO::Creating boxplot for categorical data, antibiotics vs F196
## 2026-07-10 06:02:08.530073 INFO::Creating boxplot for categorical data, antibiotics vs F550
## 2026-07-10 06:02:08.780103 INFO::Creating boxplot for categorical data, antibiotics vs F833
## 2026-07-10 06:02:09.006907 INFO::Creating boxplot for categorical data, antibiotics vs F869
## 2026-07-10 06:02:09.259477 INFO::Creating boxplot for categorical data, antibiotics vs F364
## 2026-07-10 06:02:09.48075 INFO::Creating boxplot for categorical data, antibiotics vs F583
## 2026-07-10 06:02:09.734289 INFO::Creating boxplot for categorical data, antibiotics vs F441
## 2026-07-10 06:02:09.955719 INFO::Creating boxplot for categorical data, antibiotics vs F595
## 2026-07-10 06:02:10.204061 INFO::Creating boxplot for categorical data, antibiotics vs F35
## 2026-07-10 06:02:10.428484 INFO::Creating boxplot for categorical data, antibiotics vs F630
## 2026-07-10 06:02:10.673195 INFO::Creating boxplot for categorical data, antibiotics vs F401
## 2026-07-10 06:02:10.900316 INFO::Creating boxplot for categorical data, antibiotics vs F239
## 2026-07-10 06:02:11.140195 INFO::Creating boxplot for categorical data, antibiotics vs F250
## 2026-07-10 06:02:11.376984 INFO::Creating boxplot for categorical data, antibiotics vs F287
## 2026-07-10 06:02:11.611271 INFO::Creating boxplot for categorical data, antibiotics vs F88
## 2026-07-10 06:02:12.357239 INFO::Creating boxplot for categorical data, antibiotics vs F539
## 2026-07-10 06:02:12.558524 INFO::Creating boxplot for categorical data, antibiotics vs F752
## 2026-07-10 06:02:12.767686 INFO::Creating boxplot for categorical data, antibiotics vs F126
## 2026-07-10 06:02:12.967585 INFO::Creating boxplot for categorical data, antibiotics vs F362
## 2026-07-10 06:02:13.172044 INFO::Creating boxplot for categorical data, antibiotics vs F69
## 2026-07-10 06:02:13.379451 INFO::Creating boxplot for categorical data, antibiotics vs F753
## 2026-07-10 06:02:13.585226 INFO::Creating boxplot for categorical data, antibiotics vs F469
## 2026-07-10 06:02:13.796371 INFO::Creating boxplot for categorical data, antibiotics vs F14
## 2026-07-10 06:02:14.000911 INFO::Creating boxplot for categorical data, antibiotics vs F803
## 2026-07-10 06:02:14.214232 INFO::Creating boxplot for categorical data, antibiotics vs F814
## 2026-07-10 06:02:14.41989 INFO::Creating boxplot for categorical data, antibiotics vs F449
## 2026-07-10 06:02:14.631803 INFO::Creating boxplot for categorical data, antibiotics vs F494
## 2026-07-10 06:02:14.837437 INFO::Creating boxplot for categorical data, antibiotics vs F439
## 2026-07-10 06:02:15.044875 INFO::Creating boxplot for categorical data, antibiotics vs F686
## 2026-07-10 06:02:15.248222 INFO::Creating boxplot for categorical data, antibiotics vs F591
## 2026-07-10 06:02:15.46016 INFO::Creating boxplot for categorical data, antibiotics vs F735
## 2026-07-10 06:02:15.666765 INFO::Creating boxplot for categorical data, antibiotics vs F111
## 2026-07-10 06:02:15.878541 INFO::Creating boxplot for categorical data, antibiotics vs F346
## 2026-07-10 06:02:16.081813 INFO::Creating boxplot for categorical data, antibiotics vs F29
## 2026-07-10 06:02:16.29444 INFO::Creating boxplot for categorical data, antibiotics vs F376
## 2026-07-10 06:02:16.498219 INFO::Creating boxplot for categorical data, antibiotics vs F414
## 2026-07-10 06:02:16.710127 INFO::Creating boxplot for categorical data, antibiotics vs F555
## 2026-07-10 06:02:16.914626 INFO::Creating boxplot for categorical data, antibiotics vs F517
## 2026-07-10 06:02:17.127046 INFO::Creating boxplot for categorical data, antibiotics vs F544
## 2026-07-10 06:02:17.331559 INFO::Creating boxplot for categorical data, antibiotics vs F339
## 2026-07-10 06:02:17.544682 INFO::Creating boxplot for categorical data, antibiotics vs F689
## 2026-07-10 06:02:17.750089 INFO::Creating boxplot for categorical data, antibiotics vs F391
## 2026-07-10 06:02:17.963524 INFO::Creating boxplot for categorical data, antibiotics vs F502
## 2026-07-10 06:02:18.166418 INFO::Creating boxplot for categorical data, antibiotics vs F298
## 2026-07-10 06:02:18.379633 INFO::Creating boxplot for categorical data, antibiotics vs F337
## 2026-07-10 06:02:18.581149 INFO::Creating boxplot for categorical data, antibiotics vs F773
## 2026-07-10 06:02:18.793213 INFO::Creating boxplot for categorical data, antibiotics vs F592
## 2026-07-10 06:02:18.995487 INFO::Creating boxplot for categorical data, antibiotics vs F307
## 2026-07-10 06:02:19.20801 INFO::Creating boxplot for categorical data, antibiotics vs F115
## 2026-07-10 06:02:19.412032 INFO::Creating boxplot for categorical data, antibiotics vs F739
## 2026-07-10 06:02:19.630161 INFO::Creating boxplot for categorical data, antibiotics vs F433
## 2026-07-10 06:02:19.837398 INFO::Creating boxplot for categorical data, antibiotics vs F384
## 2026-07-10 06:02:20.051931 INFO::Creating boxplot for categorical data, antibiotics vs F750
## 2026-07-10 06:02:20.258611 INFO::Creating boxplot for categorical data, antibiotics vs F762
## 2026-07-10 06:02:20.47335 INFO::Creating boxplot for categorical data, antibiotics vs F277
## 2026-07-10 06:02:20.699836 INFO::Creating boxplot for categorical data, antibiotics vs F839
## 2026-07-10 06:02:20.918419 INFO::Creating boxplot for categorical data, antibiotics vs F127
## 2026-07-10 06:02:21.123515 INFO::Creating boxplot for categorical data, antibiotics vs F554
## 2026-07-10 06:02:21.392262 INFO::Creating boxplot for categorical data, antibiotics vs F676
## 2026-07-10 06:02:21.606335 INFO::Creating boxplot for categorical data, antibiotics vs F568
## 2026-07-10 06:02:21.835487 INFO::Creating boxplot for categorical data, antibiotics vs F137
## 2026-07-10 06:02:22.050596 INFO::Creating boxplot for categorical data, antibiotics vs F871
## 2026-07-10 06:02:22.280001 INFO::Creating boxplot for categorical data, antibiotics vs F60
## 2026-07-10 06:02:22.495853 INFO::Creating boxplot for categorical data, antibiotics vs F98
## 2026-07-10 06:02:22.720867 INFO::Creating boxplot for categorical data, antibiotics vs F131
## 2026-07-10 06:02:22.935264 INFO::Creating boxplot for categorical data, antibiotics vs F530
## 2026-07-10 06:02:23.143643 INFO::Creating boxplot for categorical data, antibiotics vs F809
## 2026-07-10 06:02:23.374905 INFO::Creating boxplot for categorical data, antibiotics vs F894
## 2026-07-10 06:02:23.589694 INFO::Creating boxplot for categorical data, antibiotics vs F22
## 2026-07-10 06:02:23.823423 INFO::Creating boxplot for categorical data, antibiotics vs F818
## 2026-07-10 06:02:24.035552 INFO::Creating boxplot for categorical data, antibiotics vs F559
## 2026-07-10 06:02:24.263497 INFO::Creating boxplot for categorical data, antibiotics vs F741
## 2026-07-10 06:02:24.473477 INFO::Creating boxplot for categorical data, antibiotics vs F398
## 2026-07-10 06:02:24.700047 INFO::Creating boxplot for categorical data, antibiotics vs F357
## 2026-07-10 06:02:24.914923 INFO::Creating boxplot for categorical data, antibiotics vs F426
## 2026-07-10 06:02:25.143045 INFO::Creating boxplot for categorical data, antibiotics vs F119
## 2026-07-10 06:02:25.35389 INFO::Creating boxplot for categorical data, antibiotics vs F204
## 2026-07-10 06:02:25.579577 INFO::Creating boxplot for categorical data, antibiotics vs F851
## 2026-07-10 06:02:25.794668 INFO::Creating boxplot for categorical data, antibiotics vs F657
## 2026-07-10 06:02:26.02093 INFO::Creating boxplot for categorical data, antibiotics vs F801
## 2026-07-10 06:02:26.233617 INFO::Creating boxplot for categorical data, antibiotics vs F859
## 2026-07-10 06:02:26.458377 INFO::Creating boxplot for categorical data, antibiotics vs F480
## 2026-07-10 06:02:26.671269 INFO::Creating boxplot for categorical data, antibiotics vs F507
## 2026-07-10 06:02:26.900065 INFO::Creating boxplot for categorical data, antibiotics vs F207
## 2026-07-10 06:02:27.115564 INFO::Creating boxplot for categorical data, antibiotics vs F367
## 2026-07-10 06:02:29.291217 INFO::Plotting data for metadata number 3, age
## 2026-07-10 06:02:29.292605 INFO::Creating scatter plot for continuous data, age vs F340
## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
## ℹ The deprecated feature was likely used in the Maaslin2 package.
##   Please report the issue at <https://github.com/biobakery/maaslin2/issues>.
## This warning is displayed once per session.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:29.590703 INFO::Creating scatter plot for continuous data, age vs F603
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:29.876364 INFO::Creating scatter plot for continuous data, age vs F356
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:30.08256 INFO::Creating scatter plot for continuous data, age vs F181
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:30.303265 INFO::Creating scatter plot for continuous data, age vs F177
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:30.510792 INFO::Creating scatter plot for continuous data, age vs F390
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:30.727051 INFO::Creating scatter plot for continuous data, age vs F743
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:30.927035 INFO::Creating scatter plot for continuous data, age vs F491
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:31.195156 INFO::Creating scatter plot for continuous data, age vs F436
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:31.390766 INFO::Creating scatter plot for continuous data, age vs F219
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:31.617162 INFO::Creating scatter plot for continuous data, age vs F483
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:31.823852 INFO::Creating scatter plot for continuous data, age vs F878
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:32.046044 INFO::Creating scatter plot for continuous data, age vs F876
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:32.252064 INFO::Creating scatter plot for continuous data, age vs F211
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:32.475163 INFO::Creating scatter plot for continuous data, age vs F732
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:32.669797 INFO::Creating scatter plot for continuous data, age vs F222
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:32.887954 INFO::Creating scatter plot for continuous data, age vs F688
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:33.097113 INFO::Creating scatter plot for continuous data, age vs F170
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:33.317884 INFO::Creating scatter plot for continuous data, age vs F431
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:33.529422 INFO::Creating scatter plot for continuous data, age vs F174
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:33.736371 INFO::Creating scatter plot for continuous data, age vs F17
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:33.954118 INFO::Creating scatter plot for continuous data, age vs F334
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:34.172134 INFO::Creating scatter plot for continuous data, age vs F835
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:34.374308 INFO::Creating scatter plot for continuous data, age vs F223
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:34.588719 INFO::Creating scatter plot for continuous data, age vs F383
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:34.803131 INFO::Creating scatter plot for continuous data, age vs F623
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:35.006047 INFO::Creating scatter plot for continuous data, age vs F329
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:35.22179 INFO::Creating scatter plot for continuous data, age vs F395
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:35.438217 INFO::Creating scatter plot for continuous data, age vs F528
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:35.654486 INFO::Creating scatter plot for continuous data, age vs F13
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:35.870224 INFO::Creating scatter plot for continuous data, age vs F36
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:36.077276 INFO::Creating scatter plot for continuous data, age vs F285
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:36.299685 INFO::Creating scatter plot for continuous data, age vs F404
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:36.496864 INFO::Creating scatter plot for continuous data, age vs F894
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:36.716979 INFO::Creating scatter plot for continuous data, age vs F300
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:36.921785 INFO::Creating scatter plot for continuous data, age vs F32
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:37.133613 INFO::Creating scatter plot for continuous data, age vs F24
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:37.340631 INFO::Creating scatter plot for continuous data, age vs F97
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:37.566311 INFO::Creating scatter plot for continuous data, age vs F849
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:37.772832 INFO::Creating scatter plot for continuous data, age vs F185
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:37.998899 INFO::Creating scatter plot for continuous data, age vs F513
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:38.193853 INFO::Creating scatter plot for continuous data, age vs F296
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:38.421052 INFO::Creating scatter plot for continuous data, age vs F793
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:38.613791 INFO::Creating scatter plot for continuous data, age vs F471
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:38.83871 INFO::Creating scatter plot for continuous data, age vs F402
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:39.04737 INFO::Creating scatter plot for continuous data, age vs F541
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:39.279678 INFO::Creating scatter plot for continuous data, age vs F496
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:39.49139 INFO::Creating scatter plot for continuous data, age vs F386
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:39.703472 INFO::Creating scatter plot for continuous data, age vs F594
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:39.987967 INFO::Creating scatter plot for continuous data, age vs F704
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:40.196298 INFO::Creating scatter plot for continuous data, age vs F330
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:40.429664 INFO::Creating scatter plot for continuous data, age vs F197
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:40.637225 INFO::Creating scatter plot for continuous data, age vs F735
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:40.855619 INFO::Creating scatter plot for continuous data, age vs F481
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:41.056982 INFO::Creating scatter plot for continuous data, age vs F635
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:41.268388 INFO::Creating scatter plot for continuous data, age vs F687
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:41.490621 INFO::Creating scatter plot for continuous data, age vs F652
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:41.711755 INFO::Creating scatter plot for continuous data, age vs F651
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:41.936203 INFO::Creating scatter plot for continuous data, age vs F82
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:42.15589 INFO::Creating scatter plot for continuous data, age vs F7
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:42.368711 INFO::Creating scatter plot for continuous data, age vs F866
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:42.587131 INFO::Creating scatter plot for continuous data, age vs F593
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:42.811086 INFO::Creating scatter plot for continuous data, age vs F733
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:43.01581 INFO::Creating scatter plot for continuous data, age vs F410
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:43.240032 INFO::Creating scatter plot for continuous data, age vs F684
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:43.458685 INFO::Creating scatter plot for continuous data, age vs F224
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:43.679881 INFO::Creating scatter plot for continuous data, age vs F722
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:43.899094 INFO::Creating scatter plot for continuous data, age vs F856
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:44.119799 INFO::Creating scatter plot for continuous data, age vs F680
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:44.346812 INFO::Creating scatter plot for continuous data, age vs F19
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:44.54803 INFO::Creating scatter plot for continuous data, age vs F860
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:44.761201 INFO::Creating scatter plot for continuous data, age vs F859
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:44.967036 INFO::Creating scatter plot for continuous data, age vs F522
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:45.199666 INFO::Creating scatter plot for continuous data, age vs F372
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:45.408696 INFO::Creating scatter plot for continuous data, age vs F899
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:45.630981 INFO::Creating scatter plot for continuous data, age vs F782
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:45.835445 INFO::Creating scatter plot for continuous data, age vs F839
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:46.062018 INFO::Creating scatter plot for continuous data, age vs F827
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:46.273646 INFO::Creating scatter plot for continuous data, age vs F817
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:46.505409 INFO::Creating scatter plot for continuous data, age vs F345
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:46.714932 INFO::Creating scatter plot for continuous data, age vs F127
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:46.945809 INFO::Creating scatter plot for continuous data, age vs F749
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:47.157705 INFO::Creating scatter plot for continuous data, age vs F150
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:47.39051 INFO::Creating scatter plot for continuous data, age vs F752
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:47.587103 INFO::Creating scatter plot for continuous data, age vs F877
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:47.814542 INFO::Creating scatter plot for continuous data, age vs F848
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:48.024518 INFO::Creating scatter plot for continuous data, age vs F809
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:48.24608 INFO::Creating scatter plot for continuous data, age vs F751
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:48.465908 INFO::Creating scatter plot for continuous data, age vs F15
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:48.673022 INFO::Creating scatter plot for continuous data, age vs F521
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:48.940105 INFO::Creating scatter plot for continuous data, age vs F842
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:49.153256 INFO::Creating scatter plot for continuous data, age vs F319
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:49.380848 INFO::Creating scatter plot for continuous data, age vs F96
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:49.583413 INFO::Creating scatter plot for continuous data, age vs F171
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:49.81559 INFO::Creating scatter plot for continuous data, age vs F241
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:50.037673 INFO::Creating scatter plot for continuous data, age vs F582
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:50.269983 INFO::Creating scatter plot for continuous data, age vs F822
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:50.495234 INFO::Creating scatter plot for continuous data, age vs F748
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:50.728809 INFO::Creating scatter plot for continuous data, age vs F147
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:50.948671 INFO::Creating scatter plot for continuous data, age vs F16
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:51.175158 INFO::Creating scatter plot for continuous data, age vs F212
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:51.390228 INFO::Creating scatter plot for continuous data, age vs F718
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:51.602967 INFO::Creating scatter plot for continuous data, age vs F663
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:51.823024 INFO::Creating scatter plot for continuous data, age vs F690
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:52.041465 INFO::Creating scatter plot for continuous data, age vs F865
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:52.274009 INFO::Creating scatter plot for continuous data, age vs F421
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:52.481636 INFO::Creating scatter plot for continuous data, age vs F110
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:52.713642 INFO::Creating scatter plot for continuous data, age vs F84
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:52.923433 INFO::Creating scatter plot for continuous data, age vs F123
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:53.155507 INFO::Creating scatter plot for continuous data, age vs F566
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:53.367625 INFO::Creating scatter plot for continuous data, age vs F370
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:53.58724 INFO::Creating scatter plot for continuous data, age vs F65
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:53.798856 INFO::Creating scatter plot for continuous data, age vs F263
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:54.018024 INFO::Creating scatter plot for continuous data, age vs F119
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:54.231039 INFO::Creating scatter plot for continuous data, age vs F630
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:54.460179 INFO::Creating scatter plot for continuous data, age vs F711
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:54.687336 INFO::Creating scatter plot for continuous data, age vs F628
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:54.898302 INFO::Creating scatter plot for continuous data, age vs F152
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:55.124094 INFO::Creating scatter plot for continuous data, age vs F699
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:55.335528 INFO::Creating scatter plot for continuous data, age vs F324
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:55.578774 INFO::Creating scatter plot for continuous data, age vs F575
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:55.789434 INFO::Creating scatter plot for continuous data, age vs F857
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:56.032098 INFO::Creating scatter plot for continuous data, age vs F380
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:56.233387 INFO::Creating scatter plot for continuous data, age vs F504
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:56.479305 INFO::Creating scatter plot for continuous data, age vs F172
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:56.677998 INFO::Creating scatter plot for continuous data, age vs F34
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:56.923072 INFO::Creating scatter plot for continuous data, age vs F199
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:57.131971 INFO::Creating scatter plot for continuous data, age vs F198
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:57.360924 INFO::Creating scatter plot for continuous data, age vs F479
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:57.576404 INFO::Creating scatter plot for continuous data, age vs F673
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:57.796178 INFO::Creating scatter plot for continuous data, age vs F508
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:58.095333 INFO::Creating scatter plot for continuous data, age vs F337
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:58.318088 INFO::Creating scatter plot for continuous data, age vs F737
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:58.55855 INFO::Creating scatter plot for continuous data, age vs F609
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:58.770704 INFO::Creating scatter plot for continuous data, age vs F40
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:58.991407 INFO::Creating scatter plot for continuous data, age vs F821
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:59.224942 INFO::Creating scatter plot for continuous data, age vs F643
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:59.441233 INFO::Creating scatter plot for continuous data, age vs F759
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:02:59.664963 INFO::Creating scatter plot for continuous data, age vs F417
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:02:59.888568 INFO::Creating scatter plot for continuous data, age vs F58
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:03:00.131515 INFO::Creating scatter plot for continuous data, age vs F267
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:03:00.360167 INFO::Creating scatter plot for continuous data, age vs F101
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:03:00.59967 INFO::Creating scatter plot for continuous data, age vs F890
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:03:00.817482 INFO::Creating scatter plot for continuous data, age vs F655
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:03:01.05549 INFO::Creating scatter plot for continuous data, age vs F95
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:03:01.277364 INFO::Creating scatter plot for continuous data, age vs F775
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:03:01.516775 INFO::Creating scatter plot for continuous data, age vs F93
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:03:01.745579 INFO::Creating scatter plot for continuous data, age vs F353
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:03:01.973452 INFO::Creating scatter plot for continuous data, age vs F567
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:03:02.20557 INFO::Creating scatter plot for continuous data, age vs F480
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:03:02.438912 INFO::Creating scatter plot for continuous data, age vs F295
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:03:02.670082 INFO::Creating scatter plot for continuous data, age vs F459
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:03:02.885279 INFO::Creating scatter plot for continuous data, age vs F812
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:03:03.122348 INFO::Creating scatter plot for continuous data, age vs F146
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:03:03.335799 INFO::Creating scatter plot for continuous data, age vs F239
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:03:03.575977 INFO::Creating scatter plot for continuous data, age vs F443
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:03:03.782627 INFO::Creating scatter plot for continuous data, age vs F871
## `geom_smooth()` using formula = 'y ~ x'
## 2026-07-10 06:03:04.011083 INFO::Creating scatter plot for continuous data, age vs F5
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:03:04.228335 INFO::Creating scatter plot for continuous data, age vs F715
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:03:04.471968 INFO::Creating scatter plot for continuous data, age vs F864
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:03:04.682117 INFO::Creating scatter plot for continuous data, age vs F477
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:03:04.92203 INFO::Creating scatter plot for continuous data, age vs F571
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-07-10 06:03:05.132523 INFO::Creating scatter plot for continuous data, age vs F393
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## Initiating effect size calculations
## Calculating mean abundance in: IBD
## Calculating mean abundance in: Control
## Calculating effect size in: IBD
## Initiating prioritization
## Calculating meta-rank and prioritizing metabolic features
## 2026-07-10 06:03:07.417959 INFO::Writing all prioritized metabolites to file: Macarron_output/prioritized_metabolites_all.csv
## 2026-07-10 06:03:07.423403 INFO::Writing characterizable prioritized metabolites to file: Macarron_output/prioritized_metabolites_characterizable.csv
## 2026-07-10 06:03:07.437516 INFO::Writing highly prioritized metabolites in IBD to file: Macarron_output/highly_prioritized_per_module_in_IBD.csv

Using dataframes as inputs

abundances_df = read.csv(file = prism_abundances, row.names = 1) # setting features as rownames
annotations_df = read.csv(file = prism_annotations, row.names = 1) # setting features as rownames
metadata_df = read.csv(file = prism_metadata, row.names = 1) # setting samples as rownames 
taxonomy_df = read.csv(file = mets_taxonomy)

# Running Macarron
prism_prioritized <- Macarron::Macarron(input_abundances = abundances_df,
                                        input_annotations = annotations_df,
                                        input_metadata = metadata_df,
                                        input_taxonomy = taxonomy_df)

Running Macarron as individual functions

The Macarron::Macarron() function is a wrapper for the Macarron framework. Users can also apply individual functions on the input dataframes to achieve same results as the wrapper with the added benefit of storing output from each function for other analyses. There are seven steps:

# Step 1: Storing input data in a summarized experiment object
prism_mbx <- prepInput(input_abundances = abundances_df,
                       input_annotations = annotations_df,
                       input_metadata = metadata_df)

# Step 2: Creating a distance matrix from pairwise correlations in abundances of metabolic features
prism_w <- makeDisMat(se = prism_mbx)

# Step 3: Finding covariance modules
prism_modules <- findMacMod(se = prism_mbx,
                            w = prism_w,
                            input_taxonomy = taxonomy_df)
# The output is a list containing two dataframes- module assignments and measures of success
# if evaluateMOS=TRUE. To write modules to a separate dataframe, do:
prism_module_assignments <- prism_modules[[1]]
prism_modules_mos <- prism_modules[[2]]

# Step 4: Calculating AVA
prism_ava <- calAVA(se = prism_mbx,
                    mod.assn = prism_modules)

# Step 5: Calculating q-value
prism_qval <- calQval(se = prism_mbx,
                      mod.assn = prism_modules)

# Step 6: Calculating effect size
prism_es <- calES(se = prism_mbx,
                   mac.qval = prism_qval)

# Step 7: Prioritizing metabolic features
prism_prioritized <- prioritize(se = prism_mbx,
                                mod.assn = prism_modules,
                                mac.ava = prism_ava,
                                mac.qval = prism_qval,
                                mac.es = prism_es)
# The output is a list containing two dataframes- all prioritized metabolic features and
# only characterizable metabolic features.
all_prioritized <- prism_prioritized[[1]]
char_prioritized <- prism_prioritized[[2]]

# Step 8 (optional): View only the highly prioritized metabolic features in each module
prism_highly_prioritized <- showBest(prism_prioritized)

Session info from running the demo in R can be displayed with the following command.

sessionInfo()
## R version 4.6.1 (2026-06-24)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 26.04 LTS
## 
## Matrix products: default
## BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 
## LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.32.so;  LAPACK version 3.12.0
## 
## locale:
##  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
##  [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8    
##  [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
##  [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
##  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
## [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       
## 
## time zone: Etc/UTC
## tzcode source: system (glibc)
## 
## attached base packages:
## [1] stats4    stats     graphics  grDevices utils     datasets  methods  
## [8] base     
## 
## other attached packages:
##  [1] Macarron_1.16.0             SummarizedExperiment_1.42.0
##  [3] Biobase_2.72.0              GenomicRanges_1.64.0       
##  [5] Seqinfo_1.2.0               IRanges_2.46.0             
##  [7] S4Vectors_0.50.1            BiocGenerics_0.58.1        
##  [9] generics_0.1.4              MatrixGenerics_1.24.0      
## [11] matrixStats_1.5.0           BiocStyle_2.40.0           
## 
## loaded via a namespace (and not attached):
##  [1] mnormt_2.1.2          DBI_1.3.0             pbapply_1.7-4        
##  [4] gridExtra_2.3.1       rlang_1.3.0           magrittr_2.0.5       
##  [7] otel_0.2.0            compiler_4.6.1        mgcv_1.9-4           
## [10] vctrs_0.7.3           stringr_1.6.0         pkgconfig_2.0.3      
## [13] crayon_1.5.3          fastmap_1.2.0         backports_1.5.1      
## [16] XVector_0.52.0        labeling_0.4.3        rmarkdown_2.31       
## [19] preprocessCore_1.74.0 xfun_0.60             cachem_1.1.0         
## [22] jsonlite_2.0.0        DelayedArray_0.38.2   BiocParallel_1.46.0  
## [25] psych_2.6.5           parallel_4.6.1        Maaslin2_1.26.0      
## [28] cluster_2.1.8.2       R6_2.6.1              biglm_0.9-3          
## [31] bslib_0.11.0          stringi_1.8.7         RColorBrewer_1.1-3   
## [34] rpart_4.1.27          jquerylib_0.1.4       Rcpp_1.1.2           
## [37] iterators_1.0.14      knitr_1.51            WGCNA_1.74           
## [40] base64enc_0.1-6       Matrix_1.7-5          splines_4.6.1        
## [43] nnet_7.3-20           tidyselect_1.2.1      rstudioapi_0.19.0    
## [46] abind_1.4-8           yaml_2.3.12           doParallel_1.0.17    
## [49] codetools_0.2-20      plyr_1.8.9            lattice_0.22-9       
## [52] tibble_3.3.1          withr_3.0.3           S7_0.2.2             
## [55] evaluate_1.0.5        foreign_0.8-91        survival_3.8-9       
## [58] pillar_1.11.1         BiocManager_1.30.27   checkmate_2.3.4      
## [61] foreach_1.5.2         pcaPP_2.0-5           ggplot2_4.0.3        
## [64] scales_1.4.0          glue_1.8.1            Hmisc_5.2-6          
## [67] maketools_1.3.2       tools_4.6.1           robustbase_0.99-7    
## [70] sys_3.4.3             data.table_1.18.4     buildtools_1.0.0     
## [73] mvtnorm_1.4-1         fastcluster_1.3.0     grid_4.6.1           
## [76] impute_1.86.0         optparse_1.8.2        colorspace_2.1-2     
## [79] nlme_3.1-169          htmlTable_2.5.0       Formula_1.2-5        
## [82] cli_3.6.6             S4Arrays_1.12.0       dplyr_1.2.1          
## [85] gtable_0.3.6          DEoptimR_1.2-0        logging_0.10-111     
## [88] dynamicTreeCut_1.63-1 hash_2.2.6.4          sass_0.4.10          
## [91] digest_0.6.39         SparseArray_1.12.2    htmlwidgets_1.6.4    
## [94] farver_2.1.2          htmltools_0.5.9       lifecycle_1.0.5

Advanced Topics

Generating the input chemical taxonomy file

The input taxonomy dataframe can be generated using the input metabolic features annotation dataframe using Macarron::decorateID(). This function annotates an HMDB ID or a PubChem CID with the chemical class and subclass of the metabolite.

prism_annotations <-system.file(
    'extdata','demo_annotations.csv', package="Macarron")
annotations_df <- read.csv(file = prism_annotations, row.names = 1) # setting features as rownames
taxonomy_df <- decorateID(input_annotations = annotations_df)

Accessory output files

Macarron.log

A record of all chosen parameters and steps that were followed during execution.

modules_measures_of_success.csv

This file provides information about the properties of covariance modules used in the analysis. By default, modules are generated using a minimum module size (MMS) (argument: min_module_size) equal to cube root of the total number of prevalent metabolic features. Macarron evaluates 9 measures of success (MOS) that collectively capture the “correctness” and chemical homogeneity of the modules. The MOS are as follows:

  • Total modules: Number of modules.
  • Singletons: Number of metabolic features that were not assigned to any module at MMS.
  • % Annotated modules: Percentage of modules that contained at least one annotated metabolic feature.
  • % Consistent assignments: Percentage of times the same metabolic feature was assigned to the same module e.g. if three metabolic features represent glucose, they should all be in the same module. This percentage must be high.
  • Max classes per module: The highest number of chemical classes observed in any module. This is evaluated using the chemical taxonomy of covarying annotated features.
  • 90p classes per module: 90th percentile of classes per module; captures the chemical homogeneity of the modules.
  • Max subclasses per module: The highest number of chemical subclasses observed in any module.
  • 90p subclasses per module: 90th percentile of subclasses per module; captures the chemical homogeneity of the modules.
  • % Features in HAM: Macarron first finds homogeneously annoted modules (HAMs): These are modules in which >75% annotated features have the same chemical class indicating that they are chemically homogeneous. It then calculates how many features the HAMs account for.

Maaslin2 results

This folder contains the Maaslin2 log file (maaslin2.log), significant associations found by Maaslin2 (significant_results.tsv) and the linear model residuals file (residuals.rds). For more information, see Maaslin2.

Changing defaults

Filtering metabolic features based on prevalence

Ideally, at least 50% metabolic features must be retained after prevalence filtering. By default, Macarron uses the union of metabolic features observed (non-zero abundance) in at least 70% samples of any phenotype for further analysis. This prevalence threshold may be high for some metabolomics datasets and can be changed using the min_prevalence argument.

prism_prioritized <- Macarron::Macarron(input_abundances = abundances_df,
                                        input_annotations = annotations_df,
                                        input_metadata = metadata_df,
                                        input_taxonomy = taxonomy_df,
                                        min_prevalence = 0.5)
# or
prism_w <- makeDisMat(se = prism_mbx,
                      min_prevalence = 0.5)

Minimum module size

By default, cube root of the total number of prevalent features is used as the minimum module size (MMS) (argument: min_module_size) for module detection and generation. We expect this to work for most real world datasets. To determine if the modules are optimal for further analysis, Macarron evaluates several measures of success (MOS) as described above. In addition to evaluating MOS for modules generated using the default MMS, Macarron also evaluates MOS for MMS values that are larger (MMS+5, MMS+10) and smaller (MMS-5, MMS-10) than the default MMS. If you find that the MOS improve with larger or smaller MMS, you may change the default accordingly. For more details about module detection, please see WGCNA and dynamicTreeCut.

# See MOS of modules generated using default
prism_modules <- findMacMod(se = prism_mbx,
                            w = prism_w,
                            input_taxonomy = taxonomy_df)
prism_modules_mos <- prism_modules[[2]]
View(prism_modules_mos)

# Change MMS
prism_modules <- findMacMod(se = prism_mbx,
                            w = prism_w,
                            input_taxonomy = taxonomy_df,
                            min_module_size = 10)

Specifying fixed effects, random effects and reference

Macarron uses Maaslin2 for determining the q-value of differential abundance in a phenotype of interest. For default execution, the phenotype of interest must be a category in column 1 of the metadata dataframe e.g. IBD in diagnosis in the demo. This is also the column that is picked by the metadata_variable argument for identifying the main phenotypes/conditions in any dataset (see Macarron.log file). Further, in the default execution, all columns in the metadata table are considered as fixed effects and the alphabetically first categorical variable in each covariate with two categories is considered as the reference. Maaslin2 requires reference categories to be explicitly defined for all categorical metadata with more than two categories. Defaults can be changed with the arguments fixed_effects, random_effects and reference. In the demo example, fixed effects and reference can be defined as follows:

prism_qval <- calQval(se = prism_mbx,
                      mod.assn = prism_modules,
                      metadata_variable = "diagnosis",
                      fixed_effects = c("diagnosis","age","antibiotics"),
                      reference = c("diagnosis,Control";"antibiotics,No"))

Command line invocation

The package source contains a script MacarronCMD.R in inst/scripts to invoke Macarron in the command line using Rscript. The inst/scripts folder also contains a README file that comprehensively documents the usage of the script.