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/>.
Package details |
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Author | Paul van der Laken [aut] (<https://orcid.org/0000-0002-0404-9114>), Laura Lambert [ctb, cre] (<https://orcid.org/0000-0003-4057-7114>) |
Maintainer | Laura Lambert <laura.lambert.99@gmail.com> |
License | GPL-3 |
Version | 0.1.1 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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