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/>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
2026-04-09 windows/windows R-4.5 | corrtable_0.1.1.zip |
18.3 KiB |