cramersV: Cramer's V and its confidence interval

In ufs: A Collection of Utilities

Cramer's V and its confidence interval

Description

These functions compute the point estimate and confidence interval for Cramer's V.

Usage

cramersV(x, y = NULL, digits = 2)

## S3 method for class 'CramersV'
print(x, digits = x$input$digits, ...)

confIntV(
  x,
  y = NULL,
  conf.level = 0.95,
  samples = 500,
  digits = 2,
  method = c("bootstrap", "fisher"),
  storeBootstrappingData = FALSE
)

## S3 method for class 'confIntV'
print(x, digits = x$input$digits, ...)

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.
...	Any additional arguments are passed on to the print function.
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.

Value

A point estimate or a confidence interval for Cramer's V, an effect size to describe the association between two categorical variables.

Examples

### Get confidence interval for Cramer's V
### Note that by using 'table', and so removing the raw data, inhibits
### bootstrapping, which could otherwise take a while.
confIntV(table(infert$education, infert$induced));

ufs documentation built on May 29, 2024, 10:30 a.m.