corrMatrix

data

a vector of strings naming the variables to correlate in 
<code>data</code>

vars

<code>TRUE</code> (default) or <code>FALSE</code>, provide Pearson's R

pearson

<code>TRUE</code> or <code>FALSE</code> (default), provide Spearman's 
rho

spearman

<code>TRUE</code> or <code>FALSE</code> (default), provide Kendall's 
tau-b

kendall

<code>TRUE</code> (default) or <code>FALSE</code>, provide significance 
levels

<code>TRUE</code> or <code>FALSE</code> (default), flag significant 
correlations

flag

<code>TRUE</code> or <code>FALSE</code> (default), provide confidence 
intervals

a number between 50 and 99.9 (default: 95), the width of 
confidence intervals to provide

ciWidth

<code>TRUE</code> or <code>FALSE</code> (default), provide a correlation 
matrix plot

plots

<code>TRUE</code> or <code>FALSE</code> (default), provide densities in 
the correlation matrix plot

plotDens

<code>TRUE</code> or <code>FALSE</code> (default), provide statistics 
in the correlation matrix plot

plotStats

one of <code>'corr'</code> (default), <code>'pos'</code>, 
<code>'neg'</code> specifying the alernative hypothesis; correlated, correlated 
positively, correlated negatively respectively.

hypothesis

'jamovi' is a rich graphical statistics program providing many
common statistical tests such as t-tests, ANOVAs, correlation matrices,
proportion tests, contingency tables, etc (see <https://www.jamovi.org> for
more information). This package makes all of the basic 'jamovi' analyses
available to the R user.

corrMatrix: Correlation Matrix

Description

Usage

Arguments