Description Usage Arguments Value Examples
Determine required sample size given alpha, beta/power, df, and effect
1 2 3 4 5 6 7 8 9 10 11 12 |
effect |
effect size specifying the discrepancy between H0 and H1 (a list for multiple group models) |
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 |
N |
a list of sample weights for multiple group power analyses, e.g. list(1,2) to make the second group twice as large as the first one |
df |
the model degrees of freedom |
p |
the number of observed variables, required for effect.measure = "GFI" and "AGFI" |
SigmaHat |
model implied covariance matrix (a list for multiple group models). Use in conjuntion with Sigma to define effect and effect.measure. |
Sigma |
population covariance matrix (a list for multiple group models). Use in conjuntion with SigmaHat to define effect and effect.measure. |
list
1 2 3 4 5 6 7 8 9 10 11 12 13 | ## Not run:
power <- semPower.aPriori(effect = .05, effect.measure = "RMSEA", alpha = .05, beta = .05, df = 200)
summary(power)
power <- semPower.aPriori(effect = .15, effect.measure = "F0", alpha = .05, power = .80, df = 100)
summary(power)
power <- semPower.aPriori(effect = list(.05, .10), effect.measure = "F0", alpha = .05,
power = .80, N = list(1, 1), df = 100)
summary(power)
power <- semPower.aPriori(alpha = .01, beta = .05, df = 5,
SigmaHat = diag(4), Sigma = cov(matrix(rnorm(4*1000), ncol=4)))
summary(power)
## End(Not run)
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