LGB: This function uses the LGB Method to detect significant...

In daewr: Design and Analysis of Experiments with R

This function uses the LGB Method to detect significant effects in unreplicated fractional factorials.

Description

This function uses the LGB Method to detect significant effects in unreplicated fractional factorials.

Usage

LGB(Beta, alpha = 0.05, rpt = TRUE, plt = TRUE, pltl = TRUE)

Arguments

Beta	input - this is the numeric vector of effects or coefficients to be tested
alpha	input - This is the significance level of the test
rpt	input - this is a logical variable that controls whether the report is written (default is TRUE)
plt	input - this is a logical variable that controls whether a half-normal plot is made (default is TRUE)
pltl	input - this is a logical variable that controls whether the significance limit line is drawn on the half-normal plot (default is TRUE)

Author(s)

John Lawson

References

Lawson, J., Grimshaw, S., Burt, J. (1998) "A quantitative method for identifying active contrasts in unreplicated factorial experiments based on the half-normal plot", Computational Statistics and Data Analysis, 26, 425-436.

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