odds_ratio: Odds ratio

In kim: A Toolkit for Behavioral Scientists

Odds ratio

Description

Calculate odds ratio, as illustrated in Borenstein et al. (2009, pp. 33-36, ISBN: 978-0-470-05724-7)

Usage

odds_ratio(
  data = NULL,
  iv_name = NULL,
  dv_name = NULL,
  contingency_table = NULL,
  ci = 0.95,
  round_ci_limits = 2,
  invert = FALSE
)

Arguments

data	a data object (a data frame or a data.table)
iv_name	name of the independent variable (grouping variable)
dv_name	name of the dependent variable (binary outcome)
contingency_table	a contingency table, which can be directly entered as an input for calculating the odds ratio
ci	width of the confidence interval. Input can be any value less than 1 and greater than or equal to 0. By default, ci = 0.95. If ci = TRUE, the default value of 0.95 will be used. If ci = FALSE, no confidence interval will be estimated.
round_ci_limits	number of decimal places to which to round the limits of the confidence interval (default = 2)
invert	logical. Whether the inverse of the odds ratio (i.e., 1 / odds ratio) should be returned.

Examples

## Not run: 
odds_ratio(data = mtcars, iv_name = "vs", dv_name = "am")
odds_ratio(data = mtcars, iv_name = "vs", dv_name = "am", ci = 0.9)
odds_ratio(contingency_table = matrix(c(5, 10, 95, 90), nrow = 2))
odds_ratio(contingency_table = matrix(c(5, 10, 95, 90), nrow = 2),
invert = TRUE)
odds_ratio(contingency_table = matrix(c(34, 39, 16, 11), nrow = 2))

## End(Not run)

kim documentation built on Oct. 9, 2023, 5:08 p.m.