corrtable: Creates and Saves Out a Correlation Table with Significance Levels Indicated

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

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