correlate

Computes correlation coefficients for all combinations of the specified
variables. If no variables are specified, all numeric (integer or double)
variables are used.

Provides convenience functions for common data
modification and analysis tasks in communication research. This
includes functions for univariate and bivariate data analysis, index
generation and reliability computation, and intercoder reliability
tests. All functions follow the style and syntax of the tidyverse, and
are construed to perform their computations on multiple variables at
once. Functions for univariate and bivariate data analysis comprise
summary statistics for continuous and categorical variables, as well
as several tests of bivariate association including effect sizes.
Functions for data modification comprise index generation and
automated reliability analysis of index variables. Functions for
intercoder reliability comprise tests of several intercoder
reliability estimates, including simple and mean pairwise percent
agreement, Krippendorff's Alpha (Krippendorff 2004, ISBN:
9780761915454), and various Kappa coefficients (Brennan & Prediger
1981 <doi: 10.1177/001316448104100307>; Cohen 1960 <doi:
10.1177/001316446002000104>; Fleiss 1971 <doi: 10.1037/h0031619>).

Julian Unkel

tidycomm

Data Modification and Analysis for Communication Research

Mario Haim

Lara Kobilke

correlate function

<dl><dt>data</dt>
<dd>a <a href="https://tibble.tidyverse.org/reference/tibble-package.html">tibble</a> or a tdcmm model</dd>
<dt>...</dt>
<dd>Variables to compute correlations for (column names). Leave empty
to compute for all numeric variables in data.</dd>
<dt>method</dt>
<dd>a character string indicating which correlation coefficient
is to be computed. One of "pearson" (default), "kendall", or "spearman"</dd>
<dt>partial</dt>
<dd>Specifies a variable to be used as a control in a partial correlation.
By default, this parameter is set to <code>NULL</code>, indicating that no control variable
is used in the correlation. If used, <code>with</code> must be set to <code>NULL</code> (default).</dd>
<dt>with</dt>
<dd>Specifies a focus variable to correlate all other variables with.
By default, this parameter is set to <code>NULL</code>, indicating that no focus variable
is used in the correlation. If used, <code>partial</code> must be set to <code>NULL</code> (default).</dd></dl>

Arguments

Compute correlation coefficients — correlate

<dl>

<dt>data</dt>
<dd>a <a href='https://tibble.tidyverse.org/reference/tibble-package.html'>tibble</a> or a tdcmm model</dd>


<dt>...</dt>
<dd>Variables to compute correlations for (column names). Leave empty
to compute for all numeric variables in data.</dd>


<dt>method</dt>
<dd>a character string indicating which correlation coefficient
is to be computed. One of "pearson" (default), "kendall", or "spearman"</dd>


<dt>partial</dt>
<dd>Specifies a variable to be used as a control in a partial correlation.
By default, this parameter is set to <code>NULL</code>, indicating that no control variable
is used in the correlation. If used, <code>with</code> must be set to <code>NULL</code> (default).</dd>


<dt>with</dt>
<dd>Specifies a focus variable to correlate all other variables with.
By default, this parameter is set to <code>NULL</code>, indicating that no focus variable
is used in the correlation. If used, <code>partial</code> must be set to <code>NULL</code> (default).</dd>

</dl>

correlate: Compute correlation coefficients

Description

Usage

Value

Arguments

Examples