corrr: Correlations in R

A tool for exploring correlations. It makes it possible to easily perform routine tasks when exploring correlation matrices such as ignoring the diagonal, focusing on the correlations of certain variables against others, or rearranging and visualizing the matrix in terms of the strength of the correlations.

Version: 0.4.2
Depends: R (≥ 3.3.0)
Imports: dplyr (≥ 0.8), ggplot2 (≥ 2.2.0), seriation (≥ 1.2-0), purrr (≥ 0.2.2), tibble (≥ 2.0), ggrepel (≥ 0.6.5), methods (≥ 3.4.3), rlang (≥ 0.4.0)
Suggests: testthat (≥ 2.1.0), knitr (≥ 1.13), rmarkdown (≥ 0.9.6), dbplyr (≥ 1.2.1), DBI, RSQLite, sparklyr (≥ 0.9), covr
Published: 2020-03-22
Author: Max Kuhn [aut, cre], Simon Jackson [aut], Jorge Cimentada [aut]
Maintainer: Max Kuhn <max at rstudio.com>
BugReports: https://github.com/tidymodels/corrr/issues
License: MIT + file LICENSE
URL: https://github.com/tidymodels/corrr
NeedsCompilation: no
Materials: README NEWS
CRAN checks: corrr results

Downloads:

Reference manual: corrr.pdf
Vignettes: corrr databases
Using corrr
Package source: corrr_0.4.2.tar.gz
Windows binaries: r-devel: corrr_0.4.2.zip, r-release: corrr_0.4.2.zip, r-oldrel: corrr_0.4.2.zip
macOS binaries: r-release: corrr_0.4.2.tgz, r-oldrel: corrr_0.4.2.tgz
Old sources: corrr archive

Reverse dependencies:

Reverse imports: immcp
Reverse suggests: ggasym

Linking:

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