pwr.r.test.contour: Plot a Power Contour for a correlation analysis

In mathesong/pwrcontour: Power Contours And Tables For Different Hypothetical Effect Sizes

Description

Plot a contour of sample size, effect size and power for correlation comparisons in the style of Richard Morey's jpower JAMOVI module.

Usage

pwr.r.test.contour(
  nmin,
  nmax,
  rmin,
  rmax,
  sig.level = 0.05,
  alternative = c("two.sided", "less", "greater"),
  pwrbands = c(0.5, 0.8, 0.95),
  alpha = 0.6
)

Arguments

nmin	Minimum sample size for the plot.
nmax	Maximum sample size for the plot.
rmin	Minimum Pearson's r for the plot.
rmax	Maximum Pearson's r for the plot.
sig.level	Significance level, or alpha. Defaults to 0.05.
alternative	The alternative hypothesis. The default is "two.sided", but other options are "less" or "greater".
pwrbands	Additional black power bands to display on the figure to emphasise certain power levels. Defaults to c(0.5, 0.8, 0.95).
alpha	The transparency of the contours, in order to show grid lines below.

Value

A ggplot2 object.

Author(s)

Granville J Matheson, [e-mail]

Examples

pwr.r.test.contour(5, 100, 0.1, 0.7, sig.level=0.05)

mathesong/pwrcontour documentation built on Jan. 1, 2021, 9:19 a.m.