norm.1965SW | R Documentation |
Given an univariate sample x, it tests
H_0 : x\textrm{ is from normal distribution} \quad vs\quad H_1 : \textrm{ not } H_0
using a test procedure by Shapiro and Wilk (1965). Actual computation of p-value is done via an approximation scheme by Royston (1992).
norm.1965SW(x)
x |
a length-n data vector. |
a (list) object of S3
class htest
containing:
a test statistic.
p-value under H_0.
alternative hypothesis.
name of the test.
name(s) of provided sample data.
shapiro_analysis_1965SHT
\insertRefroyston_approximating_1992SHT
## generate samples from several distributions x = stats::runif(28) # uniform y = stats::rgamma(28, shape=2) # gamma z = stats::rlnorm(28) # log-normal ## test above samples test.x = norm.1965SW(x) # uniform test.y = norm.1965SW(y) # gamma test.z = norm.1965SW(z) # log-normal
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