shapiro.test

0th

Percentile

Shapiro-Wilk Normality Test

Performs the Shapiro-Wilk test of normality.

Keywords
htest
Usage
shapiro.test(x)
Arguments
x
a numeric vector of data values. Missing values are allowed, but the number of non-missing values must be between 3 and 5000.
Value

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

statistic
the value of the Shapiro-Wilk statistic.
p.value
an approximate p-value for the test. This is said in Royston (1995) to be adequate for p.value < 0.1.
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) Remark AS R94: 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.

Aliases
  • shapiro.test
Examples
library(stats) shapiro.test(rnorm(100, mean = 5, sd = 3)) shapiro.test(runif(100, min = 2, max = 4))
Documentation reproduced from package stats, version 3.3.3, License: Part of R 3.3.3

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