# plot.power.htest: Plot diagram of sample size vs. test power In pwr: Basic Functions for Power Analysis

## Description

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

## Usage

 ```1 2``` ```## 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 <[email protected]>

`pwr.t.test`, `pwr.p.test`, `pwr.2p.test`, `pwr.2p2n.test`, `pwr.r.test`, `pwr.chisq.test`, `pwr.anova.test`, `pwr.t2n.test`
 ```1 2 3 4``` ```## 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") ```