power.t.test {stats} | R Documentation |
Compute power of test, or determine parameters to obtain target power.
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)
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 |
Type of t test |
alternative |
One- or two-sided test |
strict |
Use strict interpretation in two-sided case |
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.
Object of class "power.htest"
, a list of the arguments
(including the computed one) augmented with method
and
note
elements.
uniroot
is used to solve power equation for unknowns, so
you may see errors from it, notably about inability to bracket the
root when invalid arguments are given.
Peter Dalgaard. Based on previous work by Claus EkstrĂ¸m
power.t.test(n = 20, delta = 1) power.t.test(power = .90, delta = 1) power.t.test(power = .90, delta = 1, alternative = "one.sided")