daewr (version 1.0-1)

bstep: This function performs Tukey's single degree of freedom test for interaction in an unreplicated two-factor design

Description

This function removes the term with the highest p-value from a model already created by ihstep or fhstep.

Usage

bstep(y,des,prvm)

Arguments

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.

prvm

input - this is a vector of text names of the terms in the model. This is created as the value resulting from running ihstep or fhstep.

Value

• returned vector of terms entered in the model at this step.

Examples

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)
trm<-fhstep(pd,des,trm)
trm<-fhstep(pd,des,trm)
trm<-fhstep(pd,des,trm)
trm<-bstep(pd,des,trm)
trm<-bstep(pd,des,trm)