fhstepDS: Forward Stepwise modeling taking into account special...

In daewr: Design and Analysis of Experiments with R

Forward Stepwise modeling taking into account special structure of Definitive Screening Design

Description

This function performs a single step of a forward stepwise regression by entering an additional 2nd order term to a model already created by FitDefSc.R or fhstepDS.R This function is called by FitDefSc.R

Usage

fhstepDS(y,des,m,c,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. 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.
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.

Author(s)

John Lawson

daewr documentation built on Sept. 9, 2023, 9:06 a.m.