R: Plot diagram of sample size vs. test power

plot.power.htest {pwr} | R Documentation

## 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 class '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

### 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()))

### Value

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

### Note

By default it attempts to use the plotting tools of ggplot2 and scales. If they are not installed, it will use the basic R plotting tools.

### Author(s)

Stephan Weibelzahl <weibelzahl@pfh.de>

### 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

    ## 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")

[Package pwr version 1.2-2 Index]