matched_or.data.frame: Matched pairs odds ratio from a data frame

In catfun: Categorical Data Analysis

Description

Create odds ratio and confidence interval from matched pairs data.

Usage

## S3 method for class 'data.frame'
matched_or(df, x, y, weight = NULL, alpha = 0.05,
  rev = c("neither", "rows", "columns", "both"), ...)

Arguments

df	a dataframe with binary variables x and y.
x	binary vector, used as rows for frequency table and calculations.
y	binary vector, used as columns for frequency table and calculations.
weight	an optional vector of count weights.
alpha	level of significance for confidence interval.
rev	reverse order of cells. Options are "row", "columns", "both", and "neither" (default).
...	further arguments passed to or from other methods.

Value

a list with class "matched_or" with the following components:

tab	2x2 table using for calculating risk difference
or	dataframe with columns corresponding to matched-pairs OR, lower bound, and upper bound of CI
conf.level	specified confidence level

Examples

gene <- data.frame(pair = seq(1:35),
                   ulcer = rbinom(35, 1, .7),
                   healthy = rbinom(35, 1, .4))

matched_or(gene, ulcer, healthy)

catfun documentation built on June 14, 2019, 5:04 p.m.