print.rmc

Print the results of a repeated measures correlation

Compute the repeated measures correlation, a statistical technique
for determining the overall within-individual relationship among paired measures
assessed on two or more occasions, first introduced by Bland and Altman (1995).
Includes functions for diagnostics, p-value, effect size with confidence
interval including optional bootstrapping, as well as graphing. Also includes
several example datasets. For more details, see the web documentation
<https://lmarusich.github.io/rmcorr/index.html> and the
original paper: Bakdash and Marusich (2017) <doi:10.3389/fpsyg.2017.00456>.

Laura Marusich

rmcorr

Repeated Measures Correlation

Jonathan Z. Bakdash

Laura R. Marusich

print.rmc function

<dl><dt>x</dt>
<dd>An object of class "rmc", a result of a call to rmcorr.</dd>
<dt>...</dt>
<dd>additional arguments to <code><a href="/link/print?package=rmcorr&version=0.7.0" data-mini-rdoc="rmcorr::print">print</a></code>.</dd></dl>

Arguments

Print the results of a repeated measures correlation — print.rmc

<dl>

<dt>x</dt>
<dd>An object of class "rmc", a result of a call to rmcorr.</dd>


<dt>...</dt>
<dd>additional arguments to <code><a href='https://rdrr.io/r/base/print.html'>print</a></code>.</dd>

</dl>

print.rmc: Print the results of a repeated measures correlation

Description

Usage

Arguments

See Also

Examples