daewr (version 1.1-8)

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

# NOT RUN {
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)
# }