to_correlation_matrix

Turns the tibble exported from <code>correlate</code> into a correlation
matrix.

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

to_correlation_matrix function

<dl><dt>data</dt>
<dd>a tdcmm model returned from <code>correlate</code></dd>
<dt>verbose</dt>
<dd>A logical, defaulted to <code>FALSE</code>. Only applicable when
correlating two variables. If set to <code>TRUE</code>, the function outputs information
regarding the sample size.</dd></dl>

Arguments

Create correlation matrix — to_correlation_matrix

<dl>

<dt>data</dt>
<dd>a tdcmm model returned from <code>correlate</code></dd>


<dt>verbose</dt>
<dd>A logical, defaulted to <code>FALSE</code>. Only applicable when
correlating two variables. If set to <code>TRUE</code>, the function outputs information
regarding the sample size.</dd>

</dl>

to_correlation_matrix: Create correlation matrix

Description

Usage

Value

Arguments

Examples