PB12Des: 12-run Plackett-Burman Design Matrix

In OBsMD: Objective Bayesian Model Discrimination in Follow-Up Designs

12-run Plackett-Burman Design Matrix

Description

12-run Plackett-Burman design matrix.

Usage

data(PB12Des)

Format

A data frame with 12 observations on the following 11 variables.

x1

numeric vectors. Contrast factor.

x2

numeric vectors. Contrast factor.

x3

numeric vectors. Contrast factor.

x4

numeric vectors. Contrast factor.

x5

numeric vectors. Contrast factor.

x6

numeric vectors. Contrast factor.

x7

numeric vectors. Contrast factor.

x8

numeric vectors. Contrast factor.

x9

numeric vectors. Contrast factor.

x10

numeric vectors. Contrast factor.

x11

numeric vectors. Contrast factor.

References

Box G. E. P., Hunter, W. C. and Hunter, J. S. (2004) Statistics for Experimenters II. Wiley.

Examples

library(OBsMD)
data(PB12Des,package="OBsMD")
str(PB12Des)
X <- as.matrix(PB12Des)
print(t(X)%*%X)

OBsMD documentation built on Sept. 11, 2024, 6:57 p.m.