This function uses the LGB Method to detect significant effects in unreplicated fractional factorials.
LGBc(Beta, alpha = 0.05, rpt = TRUE, plt = TRUE, pltl = TRUE)
input - this is the numeric vector of effects or coefficients to be tested
input - This is the significance level of the test
input - this is a logical variable that controls whether the report is written (default is TRUE)
input - this is a logical variable that controls whether a half-normal plot is made (default is TRUE)
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.