variablelist: Identify Level(s) to Which Each Factor Observation Belongs
In forsearch: Diagnostic Analysis Using Forward Search Procedure for Various Models
variablelist R Documentation
Identify Level(s) to Which Each Factor Observation Belongs
Description
For a data frame with factor variables V1, V2, V3, etc having levels n1,
n2, n3, etc, lists the n1*n2*n3*... possible interaction levels and
identifies which of the observations of the data frame belong in which
of these interaction levels.
Usage
variablelist(datadf, prank)
Arguments
datadf
Data frame of independent variables in analysis. First column
of data frame is Observation number
prank
Number of continuous variables among independent variables
Details
Support function, usually not called independently
Value
List, each element is a data frame of 2 columns with code indicating the highest
possible level of interaction to which each observation can belong
Author(s)
William R. Fairweather
forsearch documentation built on April 4, 2025, 5:52 a.m.
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| variablelist | R Documentation |
Identify Level(s) to Which Each Factor Observation Belongs
Description
For a data frame with factor variables V1, V2, V3, etc having levels n1, n2, n3, etc, lists the n1*n2*n3*... possible interaction levels and identifies which of the observations of the data frame belong in which of these interaction levels.
Usage
variablelist(datadf, prank)
Arguments
datadf |
Data frame of independent variables in analysis. First column of data frame is Observation number |
prank |
Number of continuous variables among independent variables |
Details
Support function, usually not called independently
Value
List, each element is a data frame of 2 columns with code indicating the highest possible level of interaction to which each observation can belong
Author(s)
William R. Fairweather
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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