Chisquare test and K-S test for a given set of Random Numbers in range [0,num_max] in R? [closed]

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I have made a random number generator and generated N numbers in range 0 to 10007, I want to test how good is this generator in R.

Answer 1

You can use ks.test to test if your sample matches the specified distribution. For instance, we can compare the output of runif to the U(0, 1) distribution:

set.seed(144)
x <- runif(1000, 0, 1)
ks.test(x, "punif", 0, 1)
#   One-sample Kolmogorov-Smirnov test
# 
# data:  x
# D = 0.0326, p-value = 0.2374
# alternative hypothesis: two-sided

The D value states that the empirical cdf of your samples differs from the cdf of the U(0, 1) distribution by a maximum of 0.0326. The p-value says that there's a 0.2374 probability that the empirical cdf of 1000 random samples from a random variable R will differ from the cdf of R by D or more.