chisq_test_effect: Chi-square Test Sample Size Given Effect

In wikimedia/wikimedia-discovery-wmf: R Tools For Wikimedia Foundation's Analysts And Data Scientists

Description

Uses Cohen's w for effect size to calculate sample size for a chi-squared test of independence.

Usage

chisq_test_effect(w = NULL, groups = 2, sig_level = 0.05, power = 0.8)

Arguments

w	Effect size you want the test to be able to detect. (Optional)
groups	Number of groups. Used in degrees of freedom calculation. Defaults to 2 (e.g. control group vs treatment group).
sig_level	Probability of Type 1 error. Usually called alpha. Defaults to 0.05.
power	Ability to detect the effect. (1 - probability of Type 2 error) Defaults to 80%.

Value

If w was not provided, returns a data frame containing possible values of w and the corresponding sample size estimates.

Author(s)

Mikhail Popov

See Also

chisq_test_odds()

Examples

chisq_test_effect()
chisq_test_effect(0.1)
chisq_test_effect(w = 0.1, groups = 3, sig_level = 0.001, power = 0.9)

wikimedia/wikimedia-discovery-wmf documentation built on Feb. 7, 2021, 12:19 a.m.