plot.correlation

Plot method for the correlation function

The Radiant Basics menu includes interfaces for probability
calculation, central limit theorem simulation, comparing means and proportions,
goodness-of-fit testing, cross-tabs, and correlation. The application extends
the functionality in 'radiant.data'.

Vincent Nijs

radiant.basics

Basics Menu for Radiant: Business Analytics using R and Shiny

plot.correlation function

<dl><dt>x</dt>
<dd>Return value from <code>correlation</code></dd>
<dt>nrobs</dt>
<dd>Number of data points to show in scatter plots (-1 for all)</dd>
<dt>jit</dt>
<dd>A numeric vector that determines the amount of jittering to apply to the x and y variables in a scatter plot. Default is 0. Use, e.g., 0.3 to add some jittering</dd>
<dt>dec</dt>
<dd>Number of decimals to show</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd></dl>

Arguments

Plot method for the correlation function — plot.correlation

<dl>

<dt>x</dt>
<dd>Return value from <code>correlation</code></dd>


<dt>nrobs</dt>
<dd>Number of data points to show in scatter plots (-1 for all)</dd>


<dt>jit</dt>
<dd>A numeric vector that determines the amount of jittering to apply to the x and y variables in a scatter plot. Default is 0. Use, e.g., 0.3 to add some jittering</dd>


<dt>dec</dt>
<dd>Number of decimals to show</dd>


<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>

</dl>

plot.correlation: Plot method for the correlation function

Description

Usage

Arguments

Details

See Also

Examples