sim_mixed_cc: Generate a cross-classified sample

In faux: Simulation for Factorial Designs

Generate a cross-classified sample

Description

Makes a basic cross-classified design with random intercepts for subjects and items. See vignette("sim_mixed", package = "faux") for examples and details.

Usage

sim_mixed_cc(
  sub_n = 100,
  item_n = 20,
  grand_i = 0,
  sub_sd = 1,
  item_sd = 1,
  error_sd = 1,
  empirical = FALSE,
  seed = NULL
)

Arguments

sub_n	the number of subjects
item_n	the number of items
grand_i	the grand intercept (overall mean)
sub_sd	the SD of subject random intercepts (or a sub_n-length named vector of random intercepts for each subject)
item_sd	the SD of item random intercepts (or an item_n-length named vector of random intercepts for each item)
error_sd	the SD of the error term
empirical	Should the returned data have these exact parameters? (versus be sampled from a population with these parameters)
seed	DEPRECATED use set.seed() instead before running this function

Value

a tbl

Examples

sim_mixed_cc(10, 10)

faux documentation built on April 20, 2023, 9:13 a.m.