NEWS.md
rep argument to sim_design() and sim_data(). If rep > 1, returns a nested data frame with rep simulated datasets.get_params()
make_id() functionfaux_options(plot = TRUE)
dv = list(colname = "Name for Plots"))sim_design() can take intercept-only designsrnorm_multi() can take vars = 1 for intercept-only designsjson_design() to output or save design specs in JSON formatmessy() (thanks Emily)long2wide() (handle designs with no between or no within factors)sim_df() returns subject IDs and takes data in long formatcheck_sim_stats() to get_params(), which now returns the designsim_design()
sim_mixed_cc() to simulate null cross-classified mixed effect designs by subject, item and error SDssim_design(), sim_df(), sim_mixed_cc() and sim_mixed_df() take a seed argument now for reproducible datasetscheck_design() and sim_design()
check_design() have a more consistent format
within and between are named lists; factors and labels are no longer separately namedsim_design() (failed when within or between factor number was 0)NEWS.md file to track changes to the package.sim_design() to simulate data for mixed ANOVA designs.