R2power: Function running simulation for two varying random effect

In DejanDraschkow/mixedpower: Pilotdata based simulations for estimating power in linear mixed models

Function running simulation for two varying random effect

Description

mixedpower() combines a databased and SESOI (smallest effect of interest) simulation for a combination of two specified randomeffects

Usage

R2power(
  model,
  data,
  fixed_effects,
  simvar,
  steps,
  R2var,
  R2level,
  critical_value,
  n_sim = 1000,
  SESOI = F,
  databased = T,
  maxCores = NULL
)

Arguments

model	lme4 model: mixed model of interest
data	data frame: data used to fit the mixed model of interest
fixed_effects	vector of character elements: names of variables that are used as fixed effects in the used model
simvar	character element: name of the variable that contains the random effect we want to simulate along (e.g. subject number or stimuli number) in data
steps	vector of integers: steps for "simvar" you want to test power of
R2var	character: name of second random effect we want to vary
R2level	integer: number of levels for R2var. Right now, the second random effect can only be changed to a fixed value and not be varied like simvar
critical_value	integer: z/t value to test if a given fixed effect is significant
n_sim	integer: number of simulations to run
SESOI	vector with floats´indicating the desired SESOIs. If FALSE, no SESOI simulation is run.
databased	logical value: indicates whether databased power simulation #' @param maxCores allows to specify the maximum number of cores to be used in simulation process. If unspecified, R2power will run simulations on all but one cores.

Value

A modified mixed model

DejanDraschkow/mixedpower documentation built on Feb. 16, 2024, 7:58 a.m.