| LGBc {daewr} | R Documentation |
This function does the calculations for 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
LGBc(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.