noncentrality_parameter

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

noncentrality_parameter function

<dl><dt>t_stat</dt>
<dd>the t-statistic associated with the noncentrality parameters</dd>
<dt>df</dt>
<dd>degrees of freedom associated with the noncentrality parameters</dd>
<dt>initial_value</dt>
<dd>initial value of the noncentrality parameter for
optimization (default = 0). Adjust this value if results look strange.</dd>
<dt>ci</dt>
<dd>range of the confidence interval associated with the
noncentrality parameters (default = 0.95)</dd></dl>

Arguments

Find noncentrality parameter — noncentrality_parameter

<dl>

<dt>t_stat</dt>
<dd>the t-statistic associated with the noncentrality parameters</dd>


<dt>df</dt>
<dd>degrees of freedom associated with the noncentrality parameters</dd>


<dt>initial_value</dt>
<dd>initial value of the noncentrality parameter for
optimization (default = 0). Adjust this value if results look strange.</dd>


<dt>ci</dt>
<dd>range of the confidence interval associated with the
noncentrality parameters (default = 0.95)</dd>

</dl>

noncentrality_parameter: Find noncentrality parameter

Description

Usage

Arguments

Examples