pwr.anova {pwr4exp} | R Documentation |
Power of omnibus tests
Description
Calculates the statistical power for testing the overall effects of treatment factors and their interactions, i.e., power of F-test.
Usage
pwr.anova(object, sig.level = 0.05, type = c("III", "II", "I", "3", "2", "1"))
Arguments
object |
a design object created in pwr4exp |
sig.level |
significance level, default 0.05 |
type |
the type of ANOVA table requested, default Type III |
Value
a data frame with numerator degrees of freedom (NumDF
), denominator
degrees of freedom (DenDF
), type I error rate (sig.level
), and power
.
See Also
mkdesign, designCRD, designRCBD, designLSD, designCOD, designSPD, pwr.summary and pwr.contrast
Examples
# generate an RCBD
rcbd <- designRCBD(
treatments = c(2, 2),
label = list(facA = c("1", "2"), facB = c("1", "2")),
blocks = 12,
formula = ~ facA*facB + (1|block),
means = c(32, 35, 30, 37),
vcomp = 4,
sigma2 = 6
)
# power of omnibus test
pwr.anova(rcbd)
[Package pwr4exp version 1.0.0 Index]