se_ybar

Compute the standard error for the sample mean for mixed models,
regarding the extent to which clustering affects the standard errors.
May be used as part of the multilevel power calculation for cluster sampling
(see <cite>Gelman and Hill 2007, 447ff</cite>).

Collection of convenient functions for common statistical computations,
which are not directly provided by R's base or stats packages.
This package aims at providing, first, shortcuts for statistical measures,
which otherwise could only be calculated with additional effort
(like Cramer's V, Phi, or effect size statistics like Eta or Omega squared),
or for which currently no functions available. Second, another focus
lies on weighted variants of common statistical measures and tests
like weighted standard error, mean, t-test, correlation, and more.

Daniel Lüdecke

sjstats

Collection of Convenient Functions for Common Statistical
Computations

se_ybar function

<dl><dt>fit</dt>
<dd>Fitted mixed effects model (<code><a href="/link/merMod?package=sjstats&version=0.19.0" data-mini-rdoc="sjstats::merMod">merMod</a></code>-class).</dd></dl>

Arguments

Standard error of sample mean for mixed models — se_ybar

<dl>

<dt>fit</dt>
<dd>Fitted mixed effects model (<code><a href='https://rdrr.io/pkg/lme4/man/merMod-class.html'>merMod</a></code>-class).</dd>

</dl>

se_ybar: Standard error of sample mean for mixed models

Description

Usage

Value

Arguments

References

Examples