Package: corrarray 1.2.0

corrarray: Correlation Arrays and 2-Sample Correlation Matrices

The goal of 'corrarray' is to create a multi-sample correlation array by combining the correlation matrices of a data set stratified by a grouping variable. For two specified levels of the variable, 'corrarray' displays one level's correlation matrix in the lower triangular matrix and the other level's correlation matrix in the upper triangular matrix. Such an output can enable visualization of correlations from two samples in a single correlation matrix or corrgram.

Authors:Rohan Reddy Tummala

corrarray_1.2.0.tar.gz
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corrarray_1.2.0.tgz(r-4.5-any)corrarray_1.2.0.tgz(r-4.4-any)corrarray_1.2.0.tgz(r-4.3-any)
corrarray_1.2.0.tar.gz(r-4.5-noble)corrarray_1.2.0.tar.gz(r-4.4-noble)
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corrarray.pdf |corrarray.html✨
corrarray/json (API)

# Install 'corrarray' in R:
install.packages('corrarray', repos = c('https://medicine1.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/medicine1/corrarray/issues

On CRAN:

Conda-Forge:

2.70 score 1 scripts 164 downloads 1 exports 65 dependencies

Last updated 5 years agofrom:48a8856406. Checks:5 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 01 2025
R-4.5-winNOTEMar 01 2025
R-4.5-macNOTEMar 01 2025
R-4.5-linuxNOTEMar 01 2025
R-4.4-winOKMar 01 2025
R-4.4-macOKMar 01 2025
R-4.3-winOKMar 01 2025
R-4.3-macOKMar 01 2025

Exports:corrarray

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacedata.tabledigestevaluatefansifarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmennetpillarpkgconfigR6rappdirsRColorBrewerrlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletinytexutf8vctrsviridisviridisLitewithrxfunyaml