| HierAFS {daewr} | R Documentation |
RSM forward regression keeping model hierarchy
Description
This function performs a hierarchical forward stepwise regression. If an interaction or quadratic term is entered in the model, the parent main effects are also entered into the model.
Usage
HierAFS(y,x,m,c,step)
Arguments
y |
input - this is a vector containing a single numeric column of response data. |
x |
input - this is a data frame containing the numeric columns of the candidate independent variables. The m three-level factors always preceed the c two-level factors in the design. The factor names or colnames(x) should always be of length (for example letters of the alphabet "A", "B", etc.) |
m |
input - this is an integer equal to the number of three-level factors in the design |
c |
input - this is an integer equal to the number of two-level factors in the design. Note m+c must be equal to the number of columns of des. |
step |
input - this is a single numeric value containing the n umber of steps requested. |
Value
returned data frame the first column is a factor variable containing the formula for the model fit at each step, the second numeric column is the R-square statistic for the model fit with each formula.
Author(s)
Gerhard Krennrich, and modified by John Lawson