Package: lcmsPlot 1.0.0
lcmsPlot: Comprehensive Liquid Chromatography-Mass Spectrometry (LC-MS) data visualisation package
lcmsPlot is an R package designed for visualising Liquid Chromatography-Mass Spectrometry (LC-MS) data with publication-ready high-quality plots. The package enables users to generate and customise chromatograms, mass traces, spectra, and more with fine-tuned aesthetics and annotation options.
Authors:
lcmsPlot_1.0.0.tar.gz
lcmsPlot_1.0.0.zip(r-4.7)lcmsPlot_1.0.0.zip(r-4.6)lcmsPlot_1.0.0.zip(r-4.5)
lcmsPlot_1.0.0.tgz(r-4.6-any)lcmsPlot_1.0.0.tgz(r-4.5-any)
lcmsPlot_1.0.0.tar.gz(r-4.7-any)lcmsPlot_1.0.0.tar.gz(r-4.6-any)
lcmsPlot_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
lcmsPlot/json (API)
NEWS
| # Install 'lcmsPlot' in R: |
| install.packages('lcmsPlot', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/computational-metabolomics/lcmsplot/issues
On BioConductor:lcmsPlot-1.1.1(bioc 3.24)lcmsPlot-1.0.0(bioc 3.23)
Last updated from:146cffe811 (on RELEASE_3_23). Checks:1 NOTE, 9 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 230 | ||
| linux-devel-x86_64 | OK | 401 | ||
| source / vignettes | OK | 415 | ||
| linux-release-x86_64 | OK | 422 | ||
| macos-release-arm64 | OK | 207 | ||
| macos-oldrel-arm64 | OK | 250 | ||
| windows-devel | OK | 755 | ||
| windows-release | OK | 616 | ||
| windows-oldrel | OK | 564 | ||
| wasm-release | OK | 218 |
Exports:create_data_container_from_objcreate_xcms_raw_listget_XCMSnExp_object_exampleiterate_plot_batcheslcmsPlotlp_arrangelp_chromatogramlp_compound_discovererlp_facetslp_get_plotlp_gridlp_intensity_maplp_labelslp_layoutlp_legendlp_mass_tracelp_peak_densitylp_rt_diff_plotlp_rt_linelp_spectralp_total_ion_currentMsDialPeaksSourceMZmineFeatureListsSourcenext_plotshowXcmsRawList
Dependencies:abindaffyaffyioAnnotationFilteraskpassbase64encBHBiobaseBiocBaseUtilsBiocGenericsbiocmakeBiocManagerBiocParallelbitbit64blobbslibcachemcliclueclustercodetoolscpp11crayoncrosstalkcurldata.tableDBIDelayedArraydigestdir.expirydoParalleldplyrevaluatefarverfastmapfilelockfontawesomeforeachformatRfsfutile.loggerfutile.optionsgenericsGenomicRangesggplot2gluegtablehighrhmshtmltoolshtmlwidgetshttrigraphimputeIRangesisobanditeratorsjquerylibjsonliteknitrlabelinglambda.rlaterlatticelazyevallifecyclelimmamagrittrMALDIquantMASSMassSpecWaveletMatrixMatrixGenericsmatrixStatsmemoiseMetaboCoreUtilsmimeMsBackendMspMsCoreUtilsMsExperimentMsFeaturesMSnbaseMultiAssayExperimentmzIDmzRncdf4opensslotelpatchworkpcaMethodspillarpkgconfigplotlyplyrpreprocessCoreprettyunitsprogresspromisesProtGenericsPSMatchPTModspurrrQFeaturesR6rappdirsRColorBrewerRcppreshape2Rhdf5librlangrmarkdownRSQLiteS4ArraysS4VectorsS7sassscalesSeqinfosnowSparseArraySpectrastatmodstringistringrSummarizedExperimentsystibbletidyrtidyselecttinytexutf8vctrsviridisLitevsnwithrxcmsxfunXMLXVectoryaml
Creating publication-ready LC-MS data plots
Rendered fromcreating_publication_ready_plots.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2026-01-04
Started: 2025-09-26
Easy-to-use, intuitive, and efficient LC-MS data plotting with lcmsPlot
Rendered fromlcms_data_plotting.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2026-04-05
Started: 2025-07-03
