ANCOVA_contrast {Superpower} | R Documentation |
Power Calculations for ANCOVA Contrasts
Description
Complete power analyses for specific ANCOVA contrasts. This function does not support within subjects factors.
Usage
ANCOVA_contrast(
cmat,
mu,
n = NULL,
sd,
r2 = NULL,
n_cov,
alpha_level = Superpower_options("alpha_level"),
beta_level = NULL,
round_up = TRUE
)
Arguments
cmat |
Matrix of the specific contrasts of interest |
mu |
Vector specifying mean for each condition |
n |
Sample size in each condition |
sd |
Standard deviation for all conditions (or a vector specifying the sd for each condition) |
r2 |
Coefficient of Determination of the model with only the covariates |
n_cov |
Number of covariates |
alpha_level |
Alpha level used to determine statistical significance |
beta_level |
Type II error probability (power/100-1) |
round_up |
Logical indicator (default = TRUE) for whether to round up sample size calculations to nearest whole number |
Value
Object of class "power.htest", a list of the arguments (including the computed one) augmented with method and note elements.
References
Shieh, G. (2020). Power analysis and sample size planning in ANCOVA designs. Psychometrika, 85(1), 101-120.
Examples
ANCOVA_contrast(cmat = c(-1,1),
n = 15,
mu = c(0,1),
sd = 1,
r2 = .2,
n_cov = 1)