doe: Create (partial) factorial design

In radiant.design: Design Menu for Radiant: Business Analytics using R and Shiny

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
)

radiant.design documentation built on Sept. 8, 2023, 5:45 p.m.