<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Creates and Saves Out a Correlation Table with Significance
Levels Indicated</dc:title>
  <dc:title>R package corrtable version 0.1.1</dc:title>
  <dc:description>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
  &lt;https://paulvanderlaken.com/2020/07/28/publication-ready-correlation-matrix-significance-r/&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: Hmisc</dc:relation>
  <dc:relation>Suggests: waldo, withr, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Laura Lambert &lt;laura.lambert.99@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Paul van der Laken [aut] (ORCID:
    &lt;https://orcid.org/0000-0002-0404-9114&gt;),
  Laura Lambert [ctb, cre] (ORCID:
    &lt;https://orcid.org/0000-0003-4057-7114&gt;)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2023-11-02</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=corrtable</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.corrtable</dc:identifier>
</oai_dc:dc>
