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 power for the generic F-Test with (optional) Type 1 and Type 2 error plots.

Usage

power.f.test(ncp, null.ncp = 0, df1, df2, alpha = 0.05,
             plot = TRUE, verbose = TRUE, pretty = FALSE)

Arguments

ncp	non-centrality parameter for the alternative.
null.ncp	non-centrality parameter for the null.
alpha	type 1 error rate, defined as the probability of incorrectly rejecting a true null hypothesis, denoted as \alpha.
df1	integer; numerator degrees of freedom.
df2	integer; denominator degrees of freedom.
plot	logical; FALSE switches off Type 1 and Type 2 error plot. TRUE by default.
verbose	logical; whether the output should be printed on the console. TRUE by default.
pretty	logical; whether the output should show Unicode characters (if encoding allows for it). FALSE by default.

Value

df1	numerator degrees of freedom.
df2	denominator degrees of freedom.
ncp	non-centrality parameter under alternative.
ncp.null	non-centrality parameter under null.
f.alpha	critical value(s).
power	statistical power (1-\beta).

Examples

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

pwrss documentation built on Sept. 16, 2025, 9:11 a.m.