robust.design(control.des, noise.des)
design
object, giving the design for the control factors (inner array).
design
object, giving the design for the noise (environmental)
factors (outer array).
robust.design
object, giving a robust design corresponding to the
inner and outer arrays
specified. The class of the object is
"robust.design"
and inherits
from
"design"
and
"data.frame"
. The returned value has a variable
corresponding to
each factor in both the control and noise designs.
The design returned has each row of the control design repeated for each
row in the noise design. The number of runs in the returned design is
nrow(control.des) * nrow(noise.des)
Avoid using factor names
F
and
T
as these can get confused with
FALSE
and
TRUE
. The default factor names skips these two letters.
Taguchi, G. (1986).
Introduction to Quality Engineering: Designing Quality Into Products and Processes,
Tokyo: Asian Productivity
Organization.
Phadke, M. (1989).
Quality Engineering using Robust Design,
AT&T Bell Laboratories, Prentice Hall, New Jersey.
## create a robust design with FF0708 as the inner array ## and FF0304 as the outer array control.design <- design.digest("ff0708") noise.design <- design.digest("ff0304", c("M","N","O")) rob.des <- robust.design(control.design, noise.design)