r6qualitytools (version 1.0.1)

facDesign: facDesign

Description

Generates a 2^k full factorial design.

Usage

facDesign(
  k = 3,
  p = 0,
  replicates = 1,
  blocks = 1,
  centerCube = 0,
  random.seed = 1234
)

Value

The function facDesign returns an object of class facDesign.c.

Arguments

k

Numeric value giving the number of factors. By default k is set to `3`.

p

Numeric integer between `0` and `7`. p is giving the number of additional factors in the response surface design by aliasing effects. For further information see fracDesign and fracChoose. By default p is set to `0`.

replicates

Numeric value giving the number of replicates per factor combination. By default replicates is set to `1`.

blocks

Numeric value giving the number of blocks. By default blocks is set to `1`. Blocking is only performed for k greater 2.

centerCube

Numeric value giving the number of centerpoints within the 2^k design. By default centerCube is set to `0`.

random.seed

Numeric value for setting the random seed for reproducibility.

See Also

fracDesign, fracChoose, rsmDesign, pbDesign, taguchiDesign

Examples

# Example 1
vp.full <- facDesign(k = 3)
vp.full$.response(rnorm(2^3))
vp.full$summary()

# Example 2
vp.rep <- facDesign(k = 2, replicates = 3, centerCube = 4)
vp.rep$names(c("Name 1", "Name 2"))
vp.rep$unit(c("min", "F"))
vp.rep$lows(c(20, 40, 60))
vp.rep$highs(c(40, 60, 80))
vp.rep$summary()

# Example 3
dfac <- facDesign(k = 3, centerCube = 4)
dfac$names(c('Factor 1', 'Factor 2', 'Factor 3'))
dfac$names()
dfac$lows(c(80, 120, 1))
dfac$lows()
dfac$highs(c(120, 140, 2))
dfac$highs()
dfac$summary()