crossTab | R Documentation |
This function produces a cross table, computes Chi Square, and computes the point estimate and confidence interval for Cramer's V.
crossTab(x, y = NULL, conf.level = 0.95, digits = 2, pValueDigits = 3, ...) ## S3 method for class 'crossTab' print(x, digits = x$input$digits, pValueDigits = x$input$pValueDigits, ...) ## S3 method for class 'crossTab' pander(x, digits = x$input$digits, pValueDigits = x$input$pValueDigits, ...)
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. |
conf.level |
Level of confidence for the confidence interval. |
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. |
... |
Extra arguments to |
The results of ufs::confIntV()
, but also prints the cross
table and the chi square test results.
crossTab(infert$education, infert$induced, samples=50);
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