norm.1972SF | 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 Francia (1972), which is an approximation to Shapiro and Wilk (1965).
norm.1972SF(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_approximate_1972SHT
## CRAN-purpose small example x = rnorm(10) norm.1972SF(x) # run the test ## generate samples from several distributions x = stats::runif(496) # uniform y = stats::rgamma(496, shape=2) # gamma z = stats::rlnorm(496) # log-normal ## test above samples test.x = norm.1972SF(x) # uniform test.y = norm.1972SF(y) # gamma test.z = norm.1972SF(z) # log-normal
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