mixedpowerSR: Function that runs the whole mixedpower power process

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

Function that runs the whole mixedpower power process

Description

mixedpower() combines all three power options (databased, safeguard, rnorm). It runs them all by default and returns a data frame with results for all three options.

Usage

mixedpowerSR(
  model,
  data,
  fixed_effects,
  simvar,
  steps,
  critical_value,
  n_sim = 1000,
  confidence_level = 0.68,
  databased = T,
  safeguard = F,
  rnorm = F
)

Arguments

model	lme4 model: mixed model of interest
data	data frame: pilot data that fits the mixed model of interest
fixed_effects	vector of character elements: names of variables that are used as fixed effects in model emp
simvar	charackter 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
critical_value	integer: z/t value to test if a given fixed effect is significant
n_sim	integer: number of simulations to run
confidence_level	float: value between 0-1 indicating the width of the confidence interval used for the safeguard option
databased	logical value: indicates whether databased power simulation shoul be run
safeguard	logical value: indicates whether safeguard power simulation shoul be run
rnorm	logical value: indicates whether rnorm power simulation shoul be run

Value

A modified mixed model

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