# Assocs: Association Measures In DescTools: Tools for Descriptive Statistics

 Assocs R Documentation

## Association Measures

### Description

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

### Usage

```Assocs(x, conf.level = 0.95, verbose = NULL)

## 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. `verbose` 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. `digits` integer which determines the number of digits used in formatting the measures of association. `...` further arguments to be passed to or from methods.

### 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.

### 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.

### Author(s)

Andri Signorell <andri@signorell.net>

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

### Examples

```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)
```

DescTools documentation built on Oct. 23, 2022, 1:07 a.m.