Simulate a data set from a design specification

Generate an analysis-ready data set from a portable design specification: a linear predictor built from fixed effect sizes (categorical contrasts, continuous predictors, and their interactions) plus crossed by-subject and by-item random intercepts and slopes, mapped through the chosen response family.

Usage

simulate_design(spec)

Arguments

spec

A design specification, given either as a path to a JSON file or as an already-parsed list (for example from build_spec() or load_spec()).

Value

A data frame with one row per observation, containing a subject column, an optional item column, any grouping, factor, and continuous-predictor columns, and the response column named by the specification.

Examples

spec <- build_spec(list(name = "demo", seed = 1, design_kind = "between",
  factor_name = "group", lev1 = "control", lev2 = "treatment", n_subject = 40,
  intercept = 100, effect = 5, family = "gaussian", resp_name = "", sigma = 10))
head(simulate_design(spec))
#>   subject   group    score
#> 1       1 control 104.2395
#> 2       2 control  91.7843
#> 3       3 control 108.9245
#> 4       4 control  88.7779
#> 5       5 control  86.5289
#> 6       6 control  89.3767