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Calculate power for testing various contrasts. The same syntax of emmeans package is employed to specify contrast types.

Usage

pwr.contrast(design, specs, method, alpha = 0.05, ...)

Arguments

design

a design object created using design generating functions.

specs

an argument inherited from emmeans specifying the names of the factors over which the contrasts are performed.

method

an argument inherited from contrast specifying the method of contrasts, e.g., pairwise, linear, and polynomials.

alpha

significance level (type I error rate), default 0.05

...

other arguments passed to contrast.

Value

a data frame showing the power of the specific contrast

Examples

rcbd = designRCBD(treatments = c(2, 2), blocks = 10, beta = c(10, 9, 8, 7), VarCov = 10, sigma2 = 9)
pwr.contrast(rcbd, specs = ~ facA|facB, method = "pairwise")
#>        contrast facB estimate df non-centrality alpha     power
#> 1 facA1 - facA2    1       -9 27        45.0000  0.05 0.9999965
#> 2 facA1 - facA2    2      -16 27       142.2222  0.05 1.0000000