power_Normal {PASSED} | R Documentation |
Power Calculations for One and Two Sample T-tests
Description
Compute power of t test, or determine parameters to obtain target power.
Usage
power_Normal(n1 = NULL, n2 = NULL, power = NULL, sig.level = 0.05,
delta = NULL, sd1 = 1, sd2 = 1, equal.sample = TRUE,
alternative = c("two.sided", "one.sided"),
type = c("two.sample", "one.sample", "paired"),
df.method = c("welch", "classical"), strict = FALSE)
Arguments
n1 |
sample size in group 1, or sample size in each group if equal.sample = TRUE |
n2 |
sample size in group 2 |
power |
power of test (1 minus Type II error probability) |
sig.level |
significance level (Type I error probability) |
delta |
true difference in means |
sd1 |
standard deviation for group 1 |
sd2 |
standard deviation for group 2 |
equal.sample |
equal sample sizes for two groups, see details |
alternative |
one- or two-sided test |
type |
Type of t test |
df.method |
Method for calculating the degrees of default. Possibilities are welch (the default) or classical. |
strict |
Use strict interpretation in two-sided case |
Details
Exactly one of the parameters n1
, n2
, delta
, sd1
, sd2
, power
, and sig.level
must be passed as NULL, and that parameter is determined from the others.
Notice that sd1
, sd2
, sig.level
have non-NULL defaults, so NULL must be explicitly expressed if you want to compute them.
If equal.sample = TRUE
is used, N in output will denote the number in each group.
Value
Object of class "power.htest", a list of the arguments (including the computed one) augmented with note and method elements.
Note
'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.
Examples
# Calculate power, equal sizes
power_Normal(n1 = 150, delta = 5, sd1 = 20, sd2 = 10)
# Calculate power, unequal sizes
power_Normal(n1 = 150, delta = 5, n2 = 120, sd1 = 10)
# Calculate n1, equal sizes
power_Normal(delta = 5, power = 0.9, sd1 = 10, sd2 = 12)