Package: ggpicrust2 1.7.3
ggpicrust2: Make 'PICRUSt2' Output Analysis and Visualization Easier
Provides a convenient way to analyze and visualize 'PICRUSt2' output with pre-defined plots and functions. Allows for generating statistical plots about microbiome functional predictions and offers customization options. Features a one-click option for creating publication-level plots, saving time and effort in producing professional-grade figures. Streamlines the 'PICRUSt2' analysis and visualization process. For more details, see Yang et al. (2023) <doi:10.1093/bioinformatics/btad470>.
Authors:
ggpicrust2_1.7.3.tar.gz
ggpicrust2_1.7.3.zip(r-4.3)
ggpicrust2_1.7.3.tgz(r-4.3-any)
ggpicrust2_1.7.3.tar.gz(r-4.5-noble)ggpicrust2_1.7.3.tar.gz(r-4.4-noble)
ggpicrust2_1.7.3.tgz(r-4.4-emscripten)ggpicrust2_1.7.3.tgz(r-4.3-emscripten)
ggpicrust2.pdf |ggpicrust2.html✨
ggpicrust2/json (API)
NEWS
# Install 'ggpicrust2' in R: |
install.packages('ggpicrust2', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cafferychen777/ggpicrust2/issues
- daa_annotated_results_df - Differentially Abundant Analysis Results with Annotation
- daa_results_df - DAA Results Dataset
- kegg_abundance - KEGG Abundance Dataset
- ko_abundance - KO Abundance Dataset
- metacyc_abundance - MetaCyc Abundance Dataset
- metadata - Metadata for ggpicrust2 Demonstration
Last updated 2 days agofrom:3c1d763375 (on package/ggpicrust2). Checks:OK: 4. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 25 2024 |
R-4.5-linux | OK | Nov 25 2024 |
R-4.3-win | OK | Nov 25 2024 |
R-4.3-mac | OK | Nov 25 2024 |
Exports:compare_daa_resultscompare_metagenome_resultsggpicrust2import_MicrobiomeAnalyst_daa_resultsko2kegg_abundancepathway_annotationpathway_daapathway_errorbarpathway_heatmappathway_pca
Dependencies:abindALDEx2apeaplotaskpassbackportsBHbiglmBiobaseBiocGenericsBiocParallelbitbit64bitopsbootbriobroomcallrcarcarDatacaToolschemometricscirclizeclassclicliprclueclustercodacodetoolscoincolorspacecowplotcplmcpp11crayoncurldata.tableDBIDelayedArraydeldirDEoptimRDerivdescDESeq2diffobjdigestdirectlabelsdoBydplyre1071edgeRevaluatefansifarverfBasicsforcatsforeachformatRFormulafsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesgetoptGGallyggfunggh4xggplot2ggplotifyggprismggrepelggstatsggtreeglmmTMBglmnetGlobalOptionsgluegplotsgridGraphicsgssgtablegtoolshashhmshttrinterpIRangesisobanditeratorsjpegjsonliteKernSmoothlabelinglambda.rlarslatticelatticeExtralazyevallefserlibcoinlifecyclelimmalme4lmerTestlocfitloggingMaaslin2magrittrMASSMatrixMatrixGenericsMatrixModelsmatrixStatsmclustmetagenomeSeqmgcvmicrobenchmarkMicrobiomeStatmimeminqamodeestmodelrmodeltoolsmultcompmulttestmunsellmvtnormNADAnlmenloptrnnetnumDerivopenssloptparsepatchworkpbapplypbkrtestpcaPPpermutepheatmappillarpkgbuildpkgconfigpkgloadplsplyrpngpraiseprettyunitsprocessxprogressproxypspsclpurrrquadprogquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppGSLRcppParallelRcppZigguratRdpackreadrreformulasreshape2RfastrlangrmutilrobustbaserpartrprojrootS4ArraysS4VectorssandwichscalesshapesnowsomSparseArraySparseMspatialstablestablediststatipstatmodstringistringrSummarizedExperimentsurvivalsystestthatTH.datatibbletidyrtidyselecttidytreetimeDatetimeSeriesTMBtreeiotruncnormtweedietzdbUCSC.utilsutf8vctrsveganviridisLitevroomwaldowithrWrenchXVectoryulab.utilszCompositionszlibbioczoo