mixedpower: Function running simulation for one varying random effect

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

Function running simulation for one varying random effect

Description

mixedpower() combines a databased and SESOI (smallest effect of interest) simulation for one specified random effect

Usage

mixedpower(
  model,
  data,
  fixed_effects,
  simvar,
  steps,
  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 the used data frame
steps	vector of integers: steps of "simvar" you want to test power of (e.g. different sample sizes)
critical_value	integer: z/t value to test if a given fixed effect is significant. This can be a single value or a vector containing specific critical values for each effect
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 shoul be run
maxCores	allows to specify the maximum number of cores to be used in simulation process. If unspecified, mixedpower 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.