shapiro.test              package:stats              R Documentation

Shapiro-Wilk Normality Test

Description:

     Performs the Shapiro-Wilk test of normality.

Usage:

     shapiro.test(x)

Arguments:

       x: a numeric vector of data values, the number of which must be
          between 3 and 5000.  Missing values are allowed.

Value:

     A list with class '"htest"' containing the following components: 

statistic: the value of the Shapiro-Wilk statistic.

 p.value: the p-value for the test.

  method: the character string '"Shapiro-Wilk normality test"'.

data.name: a character string giving the name(s) of the data.

References:

     Patrick Royston (1982) An Extension of Shapiro and Wilk's W Test
     for Normality to Large Samples. _Applied Statistics_, *31*,
     115-124.

     Patrick Royston (1982) Algorithm AS 181: The W Test for Normality.
     _Applied Statistics_, *31*, 176-180.

     Patrick Royston (1995) A Remark on Algorithm AS 181: The W Test
     for Normality. _Applied Statistics_, *44*, 547-551.

See Also:

     'qqnorm' for producing a normal quantile-quantile plot.

Examples:

     shapiro.test(rnorm(100, mean = 5, sd = 3))
     shapiro.test(runif(100, min = 2, max = 4))

