correlation_matrix

A collection of functions for analyzing data typically collected
or used by behavioral scientists. Examples of the functions include
a function that compares groups in a factorial experimental design,
a function that conducts (robust) two-way analysis of variance (ANOVA),
and a function that cleans a data set generated by Qualtrics surveys.
Some of the functions will require installing additional package(s).
Such packages and other references are cited within the section
describing the relevant functions. Many functions in this package
rely heavily on these two popular R packages:
Dowle et al. (2021) <https://CRAN.R-project.org/package=data.table>.
Wickham et al. (2021) <https://CRAN.R-project.org/package=ggplot2>.

Jin Kim

Behavioral Scientists' Analysis Toolkit

correlation_matrix function

<dl><dt>data</dt>
<dd>a data object (a data frame or a data.table)</dd>
<dt>var_names</dt>
<dd>names of the variables for which to calculate
all pairwise correlations</dd>
<dt>row_var_names</dt>
<dd>names of the variables that will go on the rows
of the correlation matrix</dd>
<dt>col_var_names</dt>
<dd>names of the variables that will go on the columns
of the correlation matrix</dd>
<dt>round_r</dt>
<dd>number of decimal places to which to round
correlation coefficients (default = 2)</dd>
<dt>round_p</dt>
<dd>number of decimal places to which to round
p-values (default = 3)</dd>
<dt>output_type</dt>
<dd>which value should be filled in cells of the
correlation matrix? If <code>output_type = "r"</code>, correlation
coefficients; if <code>output_type = "p"</code>, p-values;
if <code>output_type = "rp"</code>, correlation coefficients with
significance symbols based on p-values;
if <code>output_type = "n"</code>, sizes of the samples used to calculate
the correlation coefficients</dd></dl>

Arguments

correlation matrix — correlation_matrix

<dl>

<dt>data</dt>
<dd>a data object (a data frame or a data.table)</dd>


<dt>var_names</dt>
<dd>names of the variables for which to calculate
all pairwise correlations</dd>


<dt>row_var_names</dt>
<dd>names of the variables that will go on the rows
of the correlation matrix</dd>


<dt>col_var_names</dt>
<dd>names of the variables that will go on the columns
of the correlation matrix</dd>


<dt>round_r</dt>
<dd>number of decimal places to which to round
correlation coefficients (default = 2)</dd>


<dt>round_p</dt>
<dd>number of decimal places to which to round
p-values (default = 3)</dd>


<dt>output_type</dt>
<dd>which value should be filled in cells of the
correlation matrix? If <code>output_type = "r"</code>, correlation
coefficients; if <code>output_type = "p"</code>, p-values;
if <code>output_type = "rp"</code>, correlation coefficients with
significance symbols based on p-values;
if <code>output_type = "n"</code>, sizes of the samples used to calculate
the correlation coefficients</dd>

</dl>

correlation_matrix: correlation matrix

Description

Usage

Value

Arguments

Examples