bStep2

Derives the set of Step 2 observation numbers for forsearch in linear mixed 
 effects models

 manip 

Identifies potential data outliers and their impact on estimates and
analyses. Tool for evaluation of study credibility. Uses the forward
search approach of Atkinson and Riani, "Robust Diagnostic Regression
Analysis", 2000,<ISBN: o-387-95017-6> to prepare descriptive statistics
of a dataset that is to be analyzed by functions lm {stats}, glm {stats},
nls {stats}, lme {nlme}, or coxph {survival}, or their equivalent in
another language. Includes graphics functions to display the
descriptive statistics.

William Fairweather

forsearch

Diagnostic Analysis Using Forward Search Procedure for Various
Models

bStep2 function

<dl> <dt>yf</dt>
<dd>Logical. Indicates presence of factor variables</dd> <dt>f2</dt>
<dd>Fixed parameter formula</dd> <dt>dfa2</dt>
<dd>Complete data set with factor subset identification codes</dd> <dt>randm2</dt>
<dd>Random parameter formula</dd> <dt>onlyfactor</dt>
<dd>TRUE if there are no continuous independent variables in 
 the model</dd> <dt>ms</dt>
<dd>Number of observations beginning Step 2</dd> <dt>ycol</dt>
<dd>Column number of response variable</dd> <dt>initn</dt>
<dd>Vector of number of observations from each group or fixed factor
 subset to draw for primary stage of step 2</dd> <dt>inc</dt>
<dd>Logical. TRUE causes relaxation of lmeControl</dd> <dt>finalm</dt>
<dd>List of expanding subset observation numbers</dd> <dt>fbg</dt>
<dd>List of observation numbers by factor subgroup</dd> <dt>b.d</dt>
<dd>Indicator of place in code to begin diagnostic printouts</dd></dl>

Arguments

Author

Update Observation Numbers in Step 2 — bStep2

<dl>

 <dt>yf</dt>
<dd>Logical. Indicates presence of factor variables</dd>

 <dt>f2</dt>
<dd>Fixed parameter formula</dd>

 <dt>dfa2</dt>
<dd>Complete data set with factor subset identification codes</dd>

 <dt>randm2</dt>
<dd>Random parameter formula</dd>

 <dt>onlyfactor</dt>
<dd>TRUE if there are no continuous independent variables in 
 the model</dd>

 <dt>ms</dt>
<dd>Number of observations beginning Step 2</dd>

 <dt>ycol</dt>
<dd>Column number of response variable</dd>

 <dt>initn</dt>
<dd>Vector of number of observations from each group or fixed factor
 subset to draw for primary stage of step 2</dd>

 <dt>inc</dt>
<dd>Logical. TRUE causes relaxation of lmeControl</dd>

 <dt>finalm</dt>
<dd>List of expanding subset observation numbers</dd>

 <dt>fbg</dt>
<dd>List of observation numbers by factor subgroup</dd>

 <dt>b.d</dt>
<dd>Indicator of place in code to begin diagnostic printouts</dd>

</dl>

bStep2: Update Observation Numbers in Step 2

Description

Usage

Value

Arguments

Author

Details