validateInput: validateInput

In semPower: Power Analyses for SEM

validateInput

Description

Validates input for power functions.

Usage

validateInput(
  power.type = NULL,
  effect = NULL,
  effect.measure = NULL,
  alpha = NULL,
  beta = NULL,
  power = NULL,
  abratio = NULL,
  N = NULL,
  df = NULL,
  p = NULL,
  SigmaHat = NULL,
  Sigma = NULL,
  muHat = NULL,
  mu = NULL,
  fittingFunction = "ML",
  simulatedPower = FALSE,
  modelH0 = NULL,
  power.min = alpha,
  power.max = 0.999,
  effect.min = NULL,
  effect.max = NULL,
  steps = 50,
  linewidth = 1
)

Arguments

power.type	type of power analyses, one of "a-priori", "post-hoc", "compromise", "powerplot.byN", "powerplot.byEffect"
effect	effect size specifying the discrepancy between H0 and H1
effect.measure	type of effect, one of "F0", "RMSEA", "Mc", "GFI", "AGFI"
alpha	alpha error
beta	beta error
power	power (= 1 - beta)
abratio	ratio alpha/beta
N	the number of observations
df	the model degrees of freedom
p	the number of observed variables, required for effect.measure = "GFI" and effect.measure = "AGFI"
SigmaHat	model implied covariance matrix
Sigma	observed (or population) covariance matrix
muHat	model implied mean vector
mu	observed (or population) mean vector
fittingFunction	whether to use ML (the default) or WLS
simulatedPower	whether to perform a simulated (TRUE) (rather than analytical, FALSE) power analysis.
modelH0	for simulated power: lavaan model string defining the (incorrect) analysis model.
power.min	for plotting: minimum power
power.max	for plotting: maximum power
effect.min	for plotting: minimum effect
effect.max	for plotting: maximum effect
steps	for plotting: number of sampled points
linewidth	for plotting: linewidth

semPower documentation built on Nov. 15, 2023, 1:08 a.m.