combCI

This function combines upper and lower confidence intervals along with sample statistics and optionally stars intervals that do not contain 0.

The purpose of this package is to provide methods to interpret multiple
linear regression and canonical correlation results including beta weights,structure coefficients,
validity coefficients, product measures, relative weights, all-possible-subsets regression,
dominance analysis, commonality analysis, and adjusted effect sizes.

Kim Nimon

yhat

Interpreting Regression Effects

combCI function

<dl> <dt>lowerCI</dt>
<dd>Lower CI</dd> <dt>upperCI</dt>
<dd>Upper CI</dd> <dt>est</dt>
<dd>Estimate</dd> <dt>star</dt>
<dd>Boolean to indicate whether CIs that do not contain zero should be starred.</dd></dl>

Arguments

Kim Nimon &lt;kim.nimon@gmail.com&gt;

Author

Combine upper and lower confidence intervals — combCI

<dl>

 <dt>lowerCI</dt>
<dd>Lower CI</dd>

 <dt>upperCI</dt>
<dd>Upper CI</dd>

 <dt>est</dt>
<dd>Estimate</dd>

 <dt>star</dt>
<dd>Boolean to indicate whether CIs that do not contain zero should be starred.</dd>

</dl>

combCI: Combine upper and lower confidence intervals

Description

Usage

Value

Arguments

Author

Details

References