z_score

Calculate z-scores (i.e., standardize or obtain the standard scores)

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 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

A Toolkit for Behavioral Scientists

z_score function

<dl><dt>x</dt>
<dd>a numeric vector</dd>
<dt>na.rm</dt>
<dd>logical. If <code>na.rm = TRUE</code>, NA values in the vector
will be removed before calculating z-scores (default = TRUE).</dd></dl>

Arguments

z score — z_score

<dl>

<dt>x</dt>
<dd>a numeric vector</dd>


<dt>na.rm</dt>
<dd>logical. If <code>na.rm = TRUE</code>, NA values in the vector
will be removed before calculating z-scores (default = TRUE).</dd>

</dl>

z_score: z score

Description

Usage

Value

Arguments

Examples