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rnormal-distribution

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

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 ?

Solution

  • 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')