semPower (version 1.0.0)

semPower.aPriori: semPower.aPriori

Description

Determine required sample size given alpha, beta/power, df, and effect

Usage

semPower.aPriori(effect = NULL, effect.measure = NULL, alpha, beta = NULL,
  power = NULL, df, p = NULL, SigmaHat = NULL, Sigma = NULL)

Arguments

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; set either beta or power

power

power (1-beta); set either beta or power

df

the model degrees of freedom

p

the number of observed variables, required for effect.measure = "GFI" and "AGFI"

SigmaHat

model implied covariance matrix. Use in conjuntion with Sigma to define effect and effect.measure.

Sigma

population covariance matrix. Use in conjuntion with SigmaHat to define effect and effect.measure.

Value

list

Examples

# NOT RUN {
power <- semPower.aPriori(effect = .05, effect.measure = "RMSEA", alpha = .05, beta = .05, df = 200)
power
power <- semPower.aPriori(effect = .15, effect.measure = "F0", alpha = .05, power = .80, df = 100)
power
power <- semPower.aPriori(alpha = .01, beta = .05, df = 5, 
                          SigmaHat = diag(4), Sigma = cov(matrix(rnorm(4*1000),  ncol=4)))
power
# }