pwr.prop.test.table: Create a Power Table for a proportion test

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

Description

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

Usage

pwr.prop.test.table(
  n,
  propcomp = 0.5,
  sig.level = 0.05,
  type = c("two.sample", "one.sample"),
  alternative = c("two.sided", "less", "greater"),
  kable = TRUE,
  digits = 3,
  ...
)

Arguments

n	The proposed sample size.
propcomp	Comparison proportion value against which the measured proportion is compared.
sig.level	Significance level, or alpha. Defaults to 0.05.
type	The t-test type. The default is "two.sample", but other options are "paired" or "one.sample".
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
d_unitconversion	Unit conversion of Cohen's d. If specified as 5, for example, 5 units of change in the units of the table are considered equivalent to Cohen's d = 1. This conversion should be calculated in advance. Defaults to 1 for Cohen's d.
d_units	The units of the difference. Defaults to "Cohen's d".

Value

A power table.

Author(s)

Granville J Matheson, [e-mail]

Examples

# Straightforward example
pwr.t.test.table(n=25)

# More customised example
pwr.t.test.table(n=25, d_unitconversion=20, d_units="%", digits=1)

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