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]
(<https://orcid.org/0000-0002-0404-9114>),
Laura Lambert
[ctb, cre] (<https://orcid.org/0000-0003-4057-7114>) |
Maintainer: |
Laura Lambert <laura.lambert.99 at gmail.com> |
License: |
GPL-3 |
NeedsCompilation: |
no |
Materials: |
NEWS |
CRAN checks: |
corrtable results |
Documentation:
Downloads:
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