matched_or.data.frame {catfun}

Matched pairs odds ratio from a data frame

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)