R: Contingency Tables

contTables {jmv}

R Documentation

Contingency Tables

Description

X² test of association

Usage

contTables(data, rows, cols, counts = NULL, layers = NULL, chiSq = TRUE,
  chiSqCorr = FALSE, likeRat = FALSE, fisher = FALSE, contCoef = FALSE,
  phiCra = FALSE, logOdds = FALSE, odds = FALSE, relRisk = FALSE,
  ci = TRUE, ciWidth = 95, gamma = FALSE, taub = FALSE, exp = FALSE,
  pcRow = FALSE, pcCol = FALSE, pcTot = FALSE)

Arguments

`data`	the data as a data frame
`rows`	a string naming the variable to use as the rows in the contingency table
`cols`	a string naming the variable to use as the columns in the contingency table
`counts`	a string naming the variable to use as counts, or NULL if each row represents a single observation
`layers`	a character vector naming variables to split the contingency table across
`chiSq`	`TRUE` (default) or `FALSE`, provide X²
`chiSqCorr`	`TRUE` or `FALSE` (default), provide X² with continuity correction
`likeRat`	`TRUE` or `FALSE` (default), provide the likelihood ratio
`fisher`	`TRUE` or `FALSE` (default), provide Fisher's exact test
`contCoef`	`TRUE` or `FALSE` (default), provide the contingency coefficient
`phiCra`	`TRUE` or `FALSE` (default), provide Phi and Cramer's V
`logOdds`	`TRUE` or `FALSE` (default), provide the log odds ratio (only available for 2x2 tables)
`odds`	`TRUE` or `FALSE` (default), provide the odds ratio (only available for 2x2 tables)
`relRisk`	`TRUE` or `FALSE` (default), provide the relative risk (only available for 2x2 tables)
`ci`	`TRUE` or `FALSE` (default), provide confidence intervals for the comparative measures
`ciWidth`	a number between 50 and 99.9 (default: 95), width of the confidence intervals to provide
`gamma`	`TRUE` or `FALSE` (default), provide gamma
`taub`	`TRUE` or `FALSE` (default), provide Kendall's tau-b
`exp`	`TRUE` or `FALSE` (default), provide the expected counts
`pcRow`	`TRUE` or `FALSE` (default), provide row percentages
`pcCol`	`TRUE` or `FALSE` (default), provide column percentages
`pcTot`	`TRUE` or `FALSE` (default), provide total percentages

Value

A results object containing:

`results$freqs`					a table of proportions
`results$chiSq`					a table of X² test results
`results$odds`					a table of comparative measures
`results$nom`					a table of the 'nominal' test results
`results$gamma`					a table of the gamma test results
`results$taub`					a table of the Kendall's tau-b test results

Tables can be converted to data frames with asDF or as.data.frame. For example:

results$freqs$asDF

as.data.frame(results$freqs)

Examples

data('HairEyeColor')
dat <- as.data.frame(HairEyeColor)

contTables(dat, rows = 'Hair', cols = 'Eye', counts = 'Freq')

#
#  CONTINGENCY TABLES
#
#  Contingency Tables
#  -----------------------------------------------------
#    Hair     Brown    Blue    Hazel    Green    Total
#  -----------------------------------------------------
#    Black       68      20       15        5      108
#    Brown      119      84       54       29      286
#    Red         26      17       14       14       71
#    Blond        7      94       10       16      127
#    Total      220     215       93       64      592
#  -----------------------------------------------------
#
#
#  X² Tests
#  -------------------------------
#          Value    df    p
#  -------------------------------
#    X²      138     9    < .001
#    N       592
#  -------------------------------
#

[Package jmv version 0.9.2.0 Index]