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
statVisual_1.2.1.zip(r-4.5)statVisual_1.2.1.zip(r-4.4)statVisual_1.2.1.zip(r-4.3)
statVisual_1.2.1.tgz(r-4.4-any)statVisual_1.2.1.tgz(r-4.3-any)
statVisual_1.2.1.tar.gz(r-4.5-noble)statVisual_1.2.1.tar.gz(r-4.4-noble)
statVisual_1.2.1.tgz(r-4.4-emscripten)statVisual_1.2.1.tgz(r-4.3-emscripten)
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:

19 exports 0.63 score 188 dependencies 3 scripts 208 downloads

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

TargetResultDate
Doc / VignettesOKSep 01 2024
R-4.5-winNOTESep 01 2024
R-4.5-linuxNOTESep 01 2024
R-4.4-winNOTESep 01 2024
R-4.4-macNOTESep 01 2024
R-4.3-winNOTESep 01 2024
R-4.3-macNOTESep 01 2024

Exports:barPlotBiAxisErrBarBoxBoxROCcv_glmnet_plotDenDendroErrBarHeatHistImpPlotiprcompLinePlotPCA_scorePVCAstackedBarPlotstatVisualVolcanoXYscatter

Dependencies:abindaffyaffyioaskpassbackportsbase64encBiobaseBiocGenericsBiocManagerbitbit64blobbootbroombroom.helpersbslibcachemcallrcarcarDatacardscellrangercheckmateclicliprclustercodetoolscolorspaceconflictedcorrplotcowplotcpp11crayoncrosstalkcurldata.tableDBIdbplyrdendextendDerivdigestdoBydplyrDTdtplyrellipseemmeansestimabilityevaluatefactoextraFactoMineRfansifarverfastmapflashClustfontawesomeforcatsforeachforestplotfsgarglegbmgenericsGGallyggdendroggfortifyggplot2ggpubrggrepelggsciggsignifggstatsglmnetgluegoogledrivegooglesheets4gridExtragtablehavenhighrhmshtmltoolshtmlwidgetshttpuvhttridsisobanditeratorsjquerylibjsonliteknitrlabelinglabelledlaterlatticelazyevalleapslifecyclelimmalme4lubridatemagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivopensslpatchworkpbkrtestpheatmappillarpkgconfigplyrpolynompreprocessCoreprettyunitspROCprocessxprogresspromisespspurrrpvcaquantregR6raggrandomForestrappdirsRColorBrewerRcppRcppEigenreadrreadxlrematchrematch2reprexreshape2rlangrmarkdownrpartrpart.plotrstatixrstudioapirvestsassscalesscatterplot3dselectrshapeSparseMstatmodstringistringrsurvivalsyssystemfontstextshapingtibbletidyrtidyselecttidyversetimechangetinytextzdbutf8uuidvctrsviridisviridisLitevroomvsnwithrxfunxml2yamlzlibbioc

Introduction to the R package statVisual

Rendered fromstatVisual.Rmdusingknitr::rmarkdownon Sep 01 2024.

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