First step in a forward stepwise regression that preserves model hierarchy
This function performs the first step of a hierarchical forward stepwise regression. If an interaction or quadratic term is entered first, the parent main effects are also entered into the model. This function is called by HierAFS.R
ihstep(y,des,m,c)
y |
input - this is a data frame containing a single numeric column of response data. |
des |
input - this is a data frame containing the numeric columns of the candidate independent variables. The column names of des are of length 1 i.e., letters of the alphabet. The m three-level factors always preceed the c two-level factors in the design. |
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. |
returned vector of terms entered in the model at this step.
John Lawson
library(daewr) des <- DefScreen( m = 8 ) pd<-c(5.35,4.4,12.91,3.79,4.15,14.05,11.4,4.29,3.56,11.4,10.09,5.9,9.54,4.53,3.919,8.1,5.35) trm<-ihstep(pd,des,m=8,c=0)
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