sim_norm: Sample data from population with normal error variance

In dalejbarr/funfact: Functions for factorial experiments

Description

Sample data from population with normal error variance

Usage

sim_norm(design_args, n_subj, params, contr_type = "contr.dev",
  verbose = FALSE)

Arguments

design_args	experiment design (see stim_lists); must contain sub-element n_item defining the number of items.
n_subj	number of subjects
params	list with parameters defining population (fixed, subj_rfx, item_rfx), and err_var; normally generated by a call to gen_pop.
contr_type	name of function defining IV contrast type; see ?contrasts
verbose	whether to return explicit information about individual random effects and residual error

Value

A data frame with simulated data

See Also

gen_pop

Examples

design_args <- list(ivs = c(A = 2, B = 3), n_item = 18)
pop_params <- gen_pop(design_args, 12)

dat <- sim_norm(design_args, 12, pop_params)

dalejbarr/funfact documentation built on May 14, 2019, 3:31 p.m.