shapiro.test {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))

[Package

*stats* version 2.2.1

Index]