r - shapiro.test(..) cannot deal with more than 5000 data points

Question

In R, the shapiro.test() function cannot run if the sample size exceeds 5000.

shapiro.test(rnorm(10^4))

Why is it so ? Can I overpass this limitation ?

question from:https://stackoverflow.com/questions/65887353/testing-distributions-when-sample-size-over-5000

Answer 1

This is a safety limitation. Please read this: Perform a Shapiro-Wilk Normality Test

Other tests of normality do not have this limitation such as the Kolmogorov-Smirnov test:

ks.test(x=rnorm(10^4),y='pnorm',alternative='two.sided')