0-Generic-F-Test: Statistical Power for the Generic F Test

In pwrss: Statistical Power and Sample Size Calculation Tools

Statistical Power for the Generic F Test

Description

Calculates statistical power for the generic F test with (optional) Type I and Type II error plots. Unlike other more specific functions power.f.test() function allows multiple values for one parameter at a time (only when plot = FALSE).

Usage

power.f.test(ncp, df1, df2, alpha = 0.05, plot = TRUE,
             plot.main = NULL, plot.sub = NULL,
             verbose = TRUE)

Arguments

ncp	non-centrality parameter (lambda)
alpha	probability of type I error
df1	numerator degrees of freedom
df2	denominator degrees of freedom
plot	if TRUE plots Type I and Type II error
plot.main	plot title
plot.sub	plot subtitle
verbose	if FALSE no output is printed on the console. Useful for simulation, plotting, and whatnot

Value

power

statistical power (1-\beta)

Examples

# power is defined as the probability of observing F-statistics
# greater than the critical F value
power.f.test(ncp = 1, df1 = 4, df2 = 100, alpha = 0.05)

# power of multiple F-statistics
power.f.test(ncp = c(1.0, 1.5, 2.0, 2.5), plot = FALSE,
             df1 = 4, df2 = 100, alpha = 0.05)

pwrss documentation built on April 12, 2023, 12:34 p.m.