Create (partial) factorial design
doe(factors, int = "", trials = NA, seed = NA)
factors | Categorical variables used as input for design |
---|---|
int | Vector of interaction terms to consider when generating design |
trials | Number of trials to create. If NA then all feasible designs will be considered until a design with perfect D-efficiency is found |
seed | Random seed to use as the starting point |
A list with all variables defined in the function as an object of class doe
See https://radiant-rstats.github.io/docs/design/doe.html for an example in Radiant
summary.doe
to summarize results
#> $df #> $df$price #> [1] "$10" "$13" "$16" #> #> $df$food #> [1] "popcorn" "gourmet" "no_food" #> #> #> $cor_mat #> price food #> price 1.000000e+00 -1.665335e-16 #> food -1.665335e-16 1.000000e+00 #> #> $detcm #> [1] 1 #> #> $Dea #> [1] 1 #> #> $part #> trial price food #> 1 1 $10 popcorn #> 2 2 $10 gourmet #> 3 3 $10 no_food #> 4 4 $13 popcorn #> 5 5 $13 gourmet #> 6 6 $13 no_food #> 7 7 $16 popcorn #> 8 8 $16 gourmet #> 9 9 $16 no_food #> #> $full #> trial price food #> 1 1 $10 popcorn #> 2 2 $10 gourmet #> 3 3 $10 no_food #> 4 4 $13 popcorn #> 5 5 $13 gourmet #> 6 6 $13 no_food #> 7 7 $16 popcorn #> 8 8 $16 gourmet #> 9 9 $16 no_food #> #> $eff #> Trials D-efficiency Balanced #> 1 5 0.018 FALSE #> 2 6 0.449 TRUE #> 3 7 0.383 FALSE #> 4 8 0.368 FALSE #> 5 9 1.000 TRUE #> #> $seed #> [1] NA #> #> attr(,"class") #> [1] "doe" "list"doe( c("price; $10; $13; $16", "food; popcorn; gourmet; no food"), int = "price:food", trials = 9, seed = 1234 )#> $df #> $df$price #> [1] "$10" "$13" "$16" #> #> $df$food #> [1] "popcorn" "gourmet" "no_food" #> #> #> $cor_mat #> price food #> price 1.000000e+00 -1.665335e-16 #> food -1.665335e-16 1.000000e+00 #> #> $detcm #> [1] 1 #> #> $Dea #> [1] 1 #> #> $part #> trial price food #> 1 1 $10 popcorn #> 2 2 $10 gourmet #> 3 3 $10 no_food #> 4 4 $13 popcorn #> 5 5 $13 gourmet #> 6 6 $13 no_food #> 7 7 $16 popcorn #> 8 8 $16 gourmet #> 9 9 $16 no_food #> #> $full #> trial price food #> 1 1 $10 popcorn #> 2 2 $10 gourmet #> 3 3 $10 no_food #> 4 4 $13 popcorn #> 5 5 $13 gourmet #> 6 6 $13 no_food #> 7 7 $16 popcorn #> 8 8 $16 gourmet #> 9 9 $16 no_food #> #> $eff #> Trials D-efficiency Balanced #> 1 9 1 TRUE #> #> $seed #> [1] 1234 #> #> attr(,"class") #> [1] "doe" "list"