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After using this, a publication-ready correlation table with p-values indicated will be created. The input can be a full data frame; any string and Boolean terms will be dropped as part of functionality. Correlations and p-values are calculated using the 'Hmisc' framework. Output of the correlation_matrix() function is a table of strings; this gets saved out to a '.csv2' with the save_correlation_matrix() function for easy insertion into a paper. For more details about the process, consult <https://paulvanderlaken.com/2020/07/28/publication-ready-correlation-matrix-significance-r/>.
Version: | 0.1.1 |
Imports: | Hmisc |
Suggests: | waldo, withr, testthat (≥ 3.0.0) |
Published: | 2023-11-02 |
DOI: | 10.32614/CRAN.package.corrtable |
Author: | Paul van der Laken [aut], Laura Lambert [ctb, cre] |
Maintainer: | Laura Lambert <laura.lambert.99 at gmail.com> |
License: | GPL-3 |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | corrtable results |
Reference manual: | corrtable.pdf |
Package source: | corrtable_0.1.1.tar.gz |
Windows binaries: | r-devel: corrtable_0.1.1.zip, r-release: corrtable_0.1.1.zip, r-oldrel: corrtable_0.1.1.zip |
macOS binaries: | r-release (arm64): corrtable_0.1.1.tgz, r-oldrel (arm64): corrtable_0.1.1.tgz, r-release (x86_64): corrtable_0.1.1.tgz, r-oldrel (x86_64): corrtable_0.1.1.tgz |
Old sources: | corrtable archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.