Generating Interaction Factors (combinations of Data Frame columns)
Thomas Hopper wrote:
I'm starting to do a fair amount of DOE in my day job and need to generate full- and fractional-factorial designs. One of the things I'd like to do is generate all possible interaction effects, given the main effects. I've been searching through the documentation, packages and mail list archives, but the closest I can find are combin() in package combinat and combine() and combinations() in gregsmisc, none of which actually produces the results I want. Given a data frame with columns labeled A, B, C and D, I would like to generate a data frame with columns that are the combination of each of the columns in the original data frame. The output columns would be A*B, A*C, A*D, A*E, A*B*C, A*B*D,..., A*B*C*D. Alternatively, I'd want to generate the interactions for a given level (2-factor or 3-factor). If such a function already exists, I'd be more than happy to use it. If it doesn't, I can write it, but I would appreciate a little help with the algorithm for generating the combinations...how do I loop through the given factors to generate all possible combinations? Thanks, Tom
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library(BHH2) # on CRAN
?ffDesMatrix
?ffFullMatrix
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