logistErrorRate

Calculate the testing error rate for a dataset on a logistic regression 
model (or the training error rate if no dataset is entered), and a results 
table with responses versus predicted responses.

Functions used in courses taught by Dr. Small at Drew University.

Ellie Small

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Dr. Small's Functions

logistErrorRate function

<dl><dt>gmod</dt>
<dd>A logistic regression model</dd>
<dt>nw</dt>
<dd>A dataset for which a testing error rate should be calculated 
using the model in <code>gmod</code>. Note that it must contain the predictors as
well as the responses. If this argument is NULL (the default) the training
error rate will be calculated.</dd>
<dt>p</dt>
<dd>Probability (default .5) above which the observation is assigned to
the second level of the response.</dd></dl>

Arguments

Calculate the Error Rate and Results Table for Logistic Regression Models — logistErrorRate

<dl>

<dt>gmod</dt>
<dd>A logistic regression model</dd>


<dt>nw</dt>
<dd>A dataset for which a testing error rate should be calculated 
using the model in <code>gmod</code>. Note that it must contain the predictors as
well as the responses. If this argument is NULL (the default) the training
error rate will be calculated.</dd>


<dt>p</dt>
<dd>Probability (default .5) above which the observation is assigned to
the second level of the response.</dd>

</dl>

logistErrorRate: Calculate the Error Rate and Results Table for Logistic Regression Models

Description

Usage

Value

Arguments

Examples