effect_tabular function

Effect measure for association between two categorical variables

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

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

Returns

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

See Also

crosstable_effect_args()

Author(s)

Dan Chaltiel, David Hajage