mc.get.one.design: mc.get.one.design
In MConjoint: Conjoint Analysis through Averaging of Multiple Analyses

Description Usage Arguments Details Value Author(s) Examples

Get a single "good" design from a list of cards

1	mc.get.one.design(all.cards, cards, slack = 1, tol = 0.2, max.tries = 1e+06)

`all.cards`	The set of cards from which the design is to be drawn
`cards`	The number of cards in the design.
`slack`	How much the number of each factor level can vary in a "good" design
`tol`	The largest cross correlation in a "good" design
`max.tries`	The maximum number of designs to look at.

Take samples of size cards from all.cards to form designs. Check each of the designs to see if it is "good". Return the first good design found. (This is one very simple way of getting a design to start with. Alternatively you could use a classical design (e.g. a fractional factorial design) or an "optimal" design as produced by the AlgDesign package).

A single design or NULL and an error message if no design is found

William Hughes

data(hire.candidates)

#get a nine card design
mc.get.one.design(hire.candidates,9)

#get a 15 card design with cross correlations less that .1
mc.get.one.design(hire.candidates,15,tol=.1)