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Collects a number of association measures for nominal and ordinal data.
Assocs(x, conf.level = 0.95, verbose = NULL)# S3 method for Assocs
print(x, digits = 4, ...)
numeric matrix, dimension [1:17, 1:3]
the first column contains the estimate, the second the lower confidence interval, the third the upper one.
a 2 dimensional contingency table or a matrix.
confidence level of the interval. If set to NA no confidence interval will be calculated. Default is 0.95.
integer out of c(2, 1, 3) defining the verbosity of the reported results. 2 (default) means medium, 1 less and 3 extensive results.
Applies only to tables and is ignored else.
integer which determines the number of digits used in formatting the measures of association.
further arguments to be passed to or from methods.
Andri Signorell <andri@signorell.net>
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.
Phi, ContCoef, CramerV, GoodmanKruskalGamma, KendallTauB, StuartTauC,
SomersDelta, SpearmanRho, Lambda, UncertCoef, MutInf
options(scipen=8)
# 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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