Package: statVisual 1.2.1

statVisual: Statistical Visualization Tools

Visualization functions in the applications of translational medicine (TM) and biomarker (BM) development to compare groups by statistically visualizing data and/or results of analyses, such as visualizing data by displaying in one figure different groups' histograms, boxplots, densities, scatter plots, error-bar plots, or trajectory plots, by displaying scatter plots of top principal components or dendrograms with data points colored based on group information, or visualizing volcano plots to check the results of whole genome analyses for gene differential expression.

Authors:Wenfei Zhang [aut, cre], Weiliang Qiu [aut, ctb], Xuan Lin [aut, ctb], Donghui Zhang [aut, ctb]

statVisual_1.2.1.tar.gz
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statVisual_1.2.1.tgz(r-4.4-any)statVisual_1.2.1.tgz(r-4.3-any)
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statVisual.pdf |statVisual.html✨
statVisual/json (API)
NEWS

# Install 'statVisual' in R:
install.packages('statVisual', repos = c('https://gefeizhang.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/gefeizhang/statvisual/issues

Datasets:
  • diffCorDat - A Dataset for Differential Correlation Analysis
  • esSim - A Simulated Gene Expression Dataset
  • genoSim - An ExpressionSet Object Storing Simulated Genotype Data
  • longDat - A Simulated Dataset for Longitudinal Data Analysis

On CRAN:

3.00 score 3 scripts 231 downloads 19 exports 186 dependencies

Last updated 5 years agofrom:6ea489ff57. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 19 2024
R-4.5-winNOTENov 19 2024
R-4.5-linuxNOTENov 19 2024
R-4.4-winNOTENov 19 2024
R-4.4-macNOTENov 19 2024
R-4.3-winNOTENov 19 2024
R-4.3-macNOTENov 19 2024

Exports:barPlotBiAxisErrBarBoxBoxROCcv_glmnet_plotDenDendroErrBarHeatHistImpPlotiprcompLinePlotPCA_scorePVCAstackedBarPlotstatVisualVolcanoXYscatter

Dependencies:abindaffyaffyioaskpassbackportsbase64encBiobaseBiocGenericsBiocManagerbitbit64blobbootbroombslibcachemcallrcarcarDatacellrangercheckmateclicliprclustercodetoolscolorspaceconflictedcorrplotcowplotcpp11crayoncrosstalkcurldata.tableDBIdbplyrdendextendDerivdigestdoBydplyrDTdtplyrellipseemmeansestimabilityevaluatefactoextraFactoMineRfansifarverfastmapflashClustfontawesomeforcatsforeachforestplotFormulafsgarglegbmgenericsGGallyggdendroggfortifyggplot2ggpubrggrepelggsciggsignifggstatsglmnetgluegoogledrivegooglesheets4gridExtragtablehavenhighrhmshtmltoolshtmlwidgetshttpuvhttridsisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelimmalme4lubridatemagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivopensslpatchworkpbkrtestpheatmappillarpkgconfigplyrpolynompreprocessCoreprettyunitspROCprocessxprogresspromisespspurrrpvcaquantregR6raggrandomForestrappdirsRColorBrewerRcppRcppEigenreadrreadxlrematchrematch2reprexreshape2rlangrmarkdownrpartrpart.plotrstatixrstudioapirvestsassscalesscatterplot3dselectrshapeSparseMstatmodstringistringrsurvivalsyssystemfontstextshapingtibbletidyrtidyselecttidyversetimechangetinytextzdbutf8uuidvctrsviridisviridisLitevroomvsnwithrxfunxml2yamlzlibbioc

Introduction to the R package statVisual

Wenfei Zhang, Weiliang Qiu, Xuan Lin, Donghui Zhang

Rendered fromstatVisual.Rmdusingknitr::rmarkdownon Nov 19 2024.

Last update: 2020-02-20
Started: 2020-02-20