この節の作者: Ravi Selker, Jonathon Love, Damian Dropmann

Contingency Tables (contTables)

Description

The X² test of association (not to be confused with the X² goodness of fit) is used to test whether two categorical variables are independent or associated. If the p-value is low, it suggests the variables are not independent, and that there is a relationship between the two variables.

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,
  obs = TRUE,
  exp = FALSE,
  pcRow = FALSE,
  pcCol = FALSE,
  pcTot = FALSE,
  formula
)

Arguments

data	the data as a data frame
rows	the variable to use as the rows in the contingency table (not necessary when providing a formula, see the examples)
cols	the variable to use as the columns in the contingency table (not necessary when providing a formula, see the examples)
counts	the variable to use as the counts in the contingency table (not necessary when providing a formula, see the examples)
layers	the variables to use to split the contingency table (not necessary when providing a formula, see the examples)
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
obs	TRUE or FALSE (default), provide the observed counts
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
formula	(optional) the formula to use, see the examples

Output

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(formula = Freq ~ Hair:Eye, dat)

#
#  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
#  -------------------------------
#

# Alternatively, omit the left of the formula (`Freq`) if each row
# represents a single observation:

contTables(formula = ~ Hair:Eye, dat)