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/>.
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