anova2way.se.unbal | R Documentation |
Conducts power calculations for a test of a simple effect in a two-way unbalanced (unequal cell sizes) ANOVA. A "simple effect" is a contrast among the cell means. This function does not solve for sample size. For a test of a contrast in a balanced (equal cell sizes) two-way ANOVA, anova2way.se.bal can also be used and can solve for sample size. For a test of contrast among factor levels, see anova2way.c.unbal.
anova2way.se.unbal(
nmatrix = NULL,
mmatrix = NULL,
cmatrix = NULL,
sd = 0,
Rsq = 0,
ncov = 0,
alpha = 0.05,
sides = 2,
v = FALSE
)
nmatrix |
A matrix of sample sizes (see example). |
mmatrix |
A matrix of group means (see example). |
cmatrix |
A matrix of contrast coefficients (see example). |
sd |
The estimated standard deviation within each group. |
Rsq |
The estimated R^2 for regressing the outcome on the covariates; defaults to 0. |
ncov |
The number of covariates adjusted for in the model; defaults to 0. |
alpha |
The significance level (type 1 error rate); defaults to 0.05. |
sides |
Either 1 or 2 (default) to specify a one- or two- sided hypothesis test. |
v |
Either TRUE for verbose output or FALSE (default) to output computed argument only. |
A list of the arguments (including the computed power).
nmatrix <- matrix(c(30, 30, 30, 30, 30, 30), nrow = 2, byrow = TRUE)
mmatrix <- matrix(c(9.3, 8.9, 8.5, 8.7, 8.3, 7.3), nrow = 2, byrow = TRUE)
cmatrix <- matrix(c(-1, 0, 0, 1, 0, 0), nrow = 2, byrow = TRUE)
anova2way.se.unbal(nmatrix = nmatrix, mmatrix = mmatrix, cmatrix = cmatrix,
sd = 2, alpha = 0.025)
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