shapiro.test {stats} | R Documentation |
Performs the Shapiro-Wilk test of normality.
shapiro.test(x)
x |
a numeric vector of data values, the number of which must be between 3 and 5000. Missing values are allowed. |
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. |
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.
qqnorm
for producing a normal quantile-quantile plot.
shapiro.test(rnorm(100, mean = 5, sd = 3)) shapiro.test(runif(100, min = 2, max = 4))