pwr (version 1.3-0)

plot.power.htest: Plot diagram of sample size vs. test power

Description

Plot a diagram to illustrate the relationship of sample size and test power for a given set of parameters.

Usage

# S3 method for power.htest
plot(x, …)

Arguments

x

object of class power.htest usually created by one of the power calculation functions, e.g., pwr.t.test()

…

Arguments to be passed to ggplot including xlab and ylab

Value

These functions are invoked for their side effect of drawing on the active graphics device.

Details

Power calculations for the following tests are supported: t-test (pwr.t.test(), pwr.t2n.test()), chi squared test (pwr.chisq.test()), one-way ANOVA (pwr.anova.test(), standard normal distribution (pwr.norm.test()), Pearson correlation (pwr.r.test()), proportions (pwr.p.test(), pwr.2p.test(), pwr.2p2n.test()))

See Also

pwr.t.test, pwr.p.test, pwr.2p.test, pwr.2p2n.test, pwr.r.test, pwr.chisq.test, pwr.anova.test, pwr.t2n.test

Examples

# NOT RUN {
## Two-sample t-test
p.t.two <- pwr.t.test(d=0.3, power=0.8, type="two.sample", alternative="two.sided")
plot(p.t.two)
plot(p.t.two, xlab="sample size per group")

# }