confIntV
These functions compute the point estimate and confidence interval for Cramer's V. The crossTab function also shows a crosstable.
 Keywords
 bivar
Usage
crossTab(x, y=NULL, conf.level=.95,
digits=2, pValueDigits=3, ...)
cramersV(x, y = NULL, digits=2)
confIntV(x, y = NULL, conf.level=.95,
samples = 500, digits=2,
method=c('bootstrap', 'fisher'),
storeBootstrappingData = FALSE)
Arguments
 x
 Either a crosstable to analyse, or one of two vectors to use to generate that crosstable. The vector should be a factor, i.e. a categorical variable identified as such by the 'factor' class).
 y
 If x is a crosstable, y can (and should) be empty. If x is a vector, y must also be a vector.
 digits
 Minimum number of digits after the decimal point to show in the result.
 pValueDigits
 Minimum number of digits after the decimal point to show in the Chi Square p value in the result.
 conf.level
 Level of confidence for the confidence interval.
 samples
 Number of samples to generate when bootstrapping.
 method
 Whether to use Fisher's Z or bootstrapping to compute the confidence interval.
 storeBootstrappingData
 Whether to store (or discard) the data generating during the bootstrapping procedure.
 ...

Extra arguments to
crossTab
are passed on toconfIntV
.
Value
The cramersV and confIntV functions return either a point estimate or a confidence interval for Cramer's V, an effect size to describe the association between two categorical variables. The crossTab function is just a wrapper around confIntV.
Examples
### Get confidence interval for Cramer's V
### Note that removing the 'table', and so providing raw data, would enable
### bootstrapping, which can take a while.
confIntV(table(infert$education, infert$induced));
Community examples
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