DescTools (version 0.99.14)

Assocs: Association Measures

Description

Collects a bunch of association measures for nominal and ordinal data.

Usage

Assocs(x, conf.level = 0.95)

## S3 method for class 'Assocs':
print(x, digits = 4, ...)

Arguments

x
a 2 dimensional contingency table or a matrix.
conf.level
confidence level of the interval. If set to NA no confidence interval will be calculated. Default is 0.95.
digits
integer which determines the number of digits used in formatting the measures of association.
...
further arguments to be passed to or from methods.

Value

  • numeric matrix, dimension [1:17, 1:3] the first column contains the estimate, the second the lower confidence interval, the third the upper one.

Details

This function wraps the association measures phi, contingency coefficient, Cramer's V, Goodman Kruskal's Gamma, Kendall's Tau-b, Stuart's Tau-c, Somers' Delta, Pearson and Spearman correlation, Guttman's Lambda, Theil's Uncertainty Coefficient and the mutual information.

See Also

Phi, ContCoef, CramerV, GoodmanKruskalGamma, KendallTauB, StuartTauC, SomersDelta, SpearmanRho, Lambda, UncertCoef, MutInf

Examples

Run this code
# Example taken from: SAS/STAT(R) 9.2 User's Guide, Second Edition, The FREQ Procedure
# http://support.sas.com/documentation/cdl/en/statugfreq/63124/PDF/default/statugfreq.pdf
# Hair-Eye-Color pp. 1816

tob <- as.table(matrix(c(
  69, 28, 68, 51,  6,
  69, 38, 55, 37,  0,
  90, 47, 94, 94, 16
), nrow=3, byrow=TRUE,
   dimnames=list(eye=c("blue","green","brown"),
                 hair=c("fair","red","medium","dark","black")) ))
Desc(tob)
Assocs(tob)

# Example taken from: http://www.math.wpi.edu/saspdf/stat/chap28.pdf
# pp. 1349

pain <- as.table(matrix(c(
   26,  6,
   26,  7,
   23,  9,
   18, 14,
    9, 23
   ), ncol=2, byrow=TRUE))

Desc(pain)
Assocs(pain)

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