pwr.r.test.table: Create a Power Table for a correlation analysis

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

Description

Plot a power analysis table of effect size and power for Pearson's r tests in the style of Richard Morey's jpower JAMOVI module.

Usage

pwr.r.test.table(
  n,
  sig.level = 0.05,
  alternative = c("two.sided", "less", "greater"),
  kable = TRUE,
  digits = 3,
  ...
)

Arguments

n	The proposed sample size.
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".
kable	Should the table be presented as a knitr::kable() figure? Defaults to TRUE. Otherwise a tibble is returned.
digits	The number of digits.
...	Extra input arguments for the knitr::kable() function

Value

A power table.

Examples

pwr.r.test.table(n=25)

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