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 to confIntV.
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.

Aliases
  • confIntV
  • cramersV
  • crossTab
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));

Documentation reproduced from package userfriendlyscience, version 0.6-1, License: GPL (>= 2)

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