effect_tabular: Effect measure for association between two categorical...

In crosstable: Crosstables for Descriptive Analyses

Effect measure for association between two categorical variables

Description

User can either use or extend these functions to configure effect calculation.

Usage

effect_odds_ratio(x, by, conf_level = 0.95)

effect_relative_risk(x, by, conf_level = 0.95)

effect_risk_difference(x, by, conf_level = 0.95)

Arguments

x	categorical vector (character, factor, ...)
by	categorical vector (of exactly 2 unique levels)
conf_level	confidence interval level

Value

A list with five components: effect, ci, effect.name, effect.type, and conf_level

Functions

• effect_odds_ratio(): (Default) calculate the odds ratio

• effect_relative_risk(): calculate the relative risk

• effect_risk_difference(): calculate the risk difference

Author(s)

Dan Chaltiel, David Hajage

See Also

crosstable_effect_args()

crosstable documentation built on Nov. 1, 2024, 5:06 p.m.