Categorical Data Analysis
Matched pairs odds ratio from a data frame
Matched pairs odds ratio and confidence interval
Matched pairs odds ratio from a table
Pipe operator
Power and sample size for 2 proportions
Tests for equality of proportions
Tests for equality of proportions
Tests for equality of proportions
Tests for equality of proportions
Tests for equality of proportions
Risk difference
Risk difference
Risk difference
Risk difference
Create 2 x k frequency tables
Create 2 x k frequency tables
Create 2 x k frequency tables
Create 2 x k frequency tables
Includes wrapper functions around existing functions for the analysis of categorical data and introduces functions for calculating risk differences and matched odds ratios. R currently supports a wide variety of tools for the analysis of categorical data. However, many functions are spread across a variety of packages with differing syntax and poor compatibility with each another. prop_test() combines the functions binom.test(), prop.test() and BinomCI() into one output. prop_power() allows for power and sample size calculations for both balanced and unbalanced designs. riskdiff() is used for calculating risk differences and matched_or() is used for calculating matched odds ratios. For further information on methods used that are not documented in other packages see Nathan Mantel and William Haenszel (1959) <doi:10.1093/jnci/22.4.719> and Alan Agresti (2002) <ISBN:0-471-36093-7>.