# pwr.t.test

From pwr v1.2-2
0th

Percentile

##### Power calculations for t-tests of means (one sample, two samples and paired samples)

Compute power of tests or determine parameters to obtain target power (similar to power.t.test).

Keywords
htest
##### Usage
pwr.t.test(n = NULL, d = NULL, sig.level = 0.05, power = NULL,
type = c("two.sample", "one.sample", "paired"),
alternative = c("two.sided", "less", "greater"))
##### Arguments
n

Number of observations (per sample)

d

Effect size (Cohen's d) - difference between the means divided by the pooled 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 : one- two- or paired-samples

alternative

a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less"

##### Details

Exactly one of the parameters 'd','n','power' and 'sig.level' must be passed as NULL, and that parameter is determined from the others. Notice that the last one has non-NULL default so NULL must be explicitly passed if you want to compute it.

##### Value

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

##### References

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale,NJ: Lawrence Erlbaum.

power.prop.test

• pwr.t.test
##### Examples
# NOT RUN {
## One sample (power)
## Exercise 2.5 p. 47 from Cohen (1988)
pwr.t.test(d=0.2,n=60,sig.level=0.10,type="one.sample",alternative="two.sided")

## Paired samples (power)
## Exercise p. 50 from Cohen (1988)
d<-8/(16*sqrt(2*(1-0.6)))
pwr.t.test(d=d,n=40,sig.level=0.05,type="paired",alternative="two.sided")

## Two independent samples (power)
## Exercise 2.1 p. 40 from Cohen (1988)
d<-2/2.8
pwr.t.test(d=d,n=30,sig.level=0.05,type="two.sample",alternative="two.sided")

## Two independent samples (sample size)
## Exercise 2.10 p. 59
pwr.t.test(d=0.3,power=0.75,sig.level=0.05,type="two.sample",alternative="greater")

# }

Documentation reproduced from package pwr, version 1.2-2, License: GPL (>= 3)

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