normBand

Calculates a kernel density estimate of the data along with confidence bounds.
It also computes a normal density and confidence bounds for the normal density
with the same mean and variance as the observed data.

Includes functions and data used in the book "Presenting Statistical Results Effectively", Andersen and Armstrong (2022, ISBN: 978-1446269800).  Several functions aid in data visualization - creating compact letter displays for simple slopes, kernel density estimates with normal density overlay.  Other functions aid in post-model evaluation heatmap fit statistics for binary predictors, several variable importance measures, compact letter displays and simple-slope calculation. Finally, the package makes available the example datasets used in the book.

Dave Armstrong

psre

Presenting Statistical Results Effectively

Robert Andersen

Justin Esarey

John Fox

Michael Friendly

Adrian Bowman

Adelchi Azzalini

Dewey Michael

normBand function

<dl><dt>x</dt>
<dd>A vector of values whose density is to be calculated</dd>
<dt>...</dt>
<dd>Other arguments to be passed down to <code>sm.density</code>.</dd></dl>

Arguments

Dave Armstrong, A.W. Bowman and A. Azzalini

Author

Kernel Density with Normal Density Overlay — normBand

<dl>

<dt>x</dt>
<dd>A vector of values whose density is to be calculated</dd>


<dt>...</dt>
<dd>Other arguments to be passed down to <code>sm.density</code>.</dd>

</dl>

normBand: Kernel Density with Normal Density Overlay

Description

Usage

Value

Arguments

Author

Details

References