stats (version 3.3.3)

power.t.test: Power calculations for one and two sample t tests

Description

Compute the power of the one- or two- sample t test, or determine parameters to obtain a target power.

Usage

power.t.test(n = NULL, delta = NULL, sd = 1, sig.level = 0.05,
             power = NULL,
             type = c("two.sample", "one.sample", "paired"),
             alternative = c("two.sided", "one.sided"),
             strict = FALSE, tol = .Machine$double.eps^0.25)

Arguments

n
number of observations (per group)
delta
true difference in means
sd
standard deviation
sig.level
significance level (Type I error probability)
power
power of test (1 minus Type II error probability)
type
string specifying the type of t test. Can be abbreviated.
alternative
one- or two-sided test. Can be abbreviated.
strict
use strict interpretation in two-sided case
tol
numerical tolerance used in root finding, the default providing (at least) four significant digits.

Value

Object of class "power.htest", a list of the arguments (including the computed one) augmented with method and note elements.

Details

Exactly one of the parameters n, delta, power, sd, and sig.level must be passed as NULL, and that parameter is determined from the others. Notice that the last two have non-NULL defaults, so NULL must be explicitly passed if you want to compute them. If strict = TRUE is used, the power will include the probability of rejection in the opposite direction of the true effect, in the two-sided case. Without this the power will be half the significance level if the true difference is zero.

See Also

t.test, uniroot

Examples

Run this code
 power.t.test(n = 20, delta = 1)
 power.t.test(power = .90, delta = 1)
 power.t.test(power = .90, delta = 1, alternative = "one.sided")

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