doe {radiant.design} | R Documentation |
Create (partial) factorial design
Description
Create (partial) factorial design
Usage
doe(factors, int = "", trials = NA, seed = NA)
Arguments
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 |
Details
See https://radiant-rstats.github.io/docs/design/doe.html for an example in Radiant
Value
A list with all variables defined in the function as an object of class doe
See Also
summary.doe
to summarize results
Examples
doe(c("price; $10; $13; $16", "food; popcorn; gourmet; no food"))
doe(
c("price; $10; $13; $16", "food; popcorn; gourmet; no food"),
int = "price:food", trials = 9, seed = 1234
)
[Package radiant.design version 1.6.6 Index]