Kolmogorov-Smirnov test in R

I think it would be better to use mean=mean(x) and sd=sd(x) like

ks.test(x, "pnorm", mean=mean(x), sd=sd(x))

As pointed out in the ks.test help, you have to give to the ks.test function the arguments of pnorm. If you do not precise mean and standard variation, the test is done on a standard gaussian distribution.

Here you should write:

ks.test(x, "pnorm", 1, 2) #or ks.test(x, "pnorm", mean=1, sd=2)