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shapiro.test {ctest}R Documentation

Shapiro-Wilk Normality Test

Description

Performs the Shapiro-Wilk test for 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))