This function uses the LGB Method to detect significant effects in unreplicated fractional factorials.
This function uses the LGB Method to detect significant effects in unreplicated fractional factorials.
LGB(Beta, alpha = 0.05, rpt = TRUE, plt = TRUE, pltl = TRUE)
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) |
John Lawson
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.
data(chem)
modf<-lm(y~A*B*C*D,data=chem)
LGB(coef(modf)[-1],rpt=FALSE)
## The function is currently defined as
LGB <- function(Beta, alpha=.05,rpt=TRUE, plt=TRUE, pltl=TRUE) {
sigLGB<-LGBc(Beta,alpha,rpt,plt,pltl)
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