cor_multilevel

Multilevel correlations (within-level and between-level).
For details, see description in <code>HLM_ICC_rWG()</code>.

Broadly useful convenient and efficient R functions
that bring users concise and elegant R data analyses.
This package includes easy-to-use functions for
(1) basic R programming
(e.g., set working directory to the path of currently opened file;
import/export data from/to files in any format;
print tables to Microsoft Word);
(2) multivariate computation
(e.g., compute scale sums/means/... with reverse scoring);
(3) reliability analyses and factor analyses;
(4) descriptive statistics and correlation analyses;
(5) t-test, multi-factor analysis of variance (ANOVA),
simple-effect analysis, and post-hoc multiple comparison;
(6) tidy report of statistical models
(to R Console and Microsoft Word);
(7) mediation and moderation analyses (PROCESS);
and (8) additional toolbox for statistics and graphics.

Han-Wu-Shuang Bao

bruceR

Broadly Useful Convenient and Efficient R Functions

cor_multilevel function

<dl><dt>data</dt>
<dd>Data frame.</dd>
<dt>group</dt>
<dd>Grouping variable.</dd>
<dt>digits</dt>
<dd>Number of decimal places of output. Defaults to <code>3</code>.</dd></dl>

Arguments

Multilevel correlations (within-level and between-level). — cor_multilevel

<dl>

<dt>data</dt>
<dd>Data frame.</dd>


<dt>group</dt>
<dd>Grouping variable.</dd>


<dt>digits</dt>
<dd>Number of decimal places of output. Defaults to <code>3</code>.</dd>

</dl>

cor_multilevel: Multilevel correlations (within-level and between-level).

Description

Usage

Value

Arguments

See Also

Examples