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
corrarray_1.2.0.zip(r-4.5)corrarray_1.2.0.zip(r-4.4)corrarray_1.2.0.zip(r-4.3)
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)
corrarray_1.2.0.tgz(r-4.4-emscripten)corrarray_1.2.0.tgz(r-4.3-emscripten)
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'))

Peer review:

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

On CRAN:

2.70 score 1 scripts 120 downloads 1 exports 65 dependencies

Last updated 4 years agofrom:48a8856406. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winNOTENov 01 2024
R-4.5-linuxNOTENov 01 2024
R-4.4-winOKNov 01 2024
R-4.4-macOKNov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

Exports:corrarray

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacedata.tabledigestevaluatefansifarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmennetpillarpkgconfigR6rappdirsRColorBrewerrlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletinytexutf8vctrsviridisviridisLitewithrxfunyaml