[R] KS test

[Vito Ricci]

Dear Florence,

you should specify parameters of normal distribution
(mean and sd) see this example.

 z<-rnorm(100,2,10)
ks.test(z,pnorm,2,10)

One-sample Kolmogorov-Smirnov test

data:  z 
D = 0.0508, p-value = 0.9585
alternative hypothesis: two.sided 


best
Vito
You wrote:

Dear all,

I have a question about the ks.test() function, in
order to perform a 
Kolmogorov-Smirnov test.

I think that my question is very simple for many of
you, but I cannot find 
an answer right now...

I have a sample, and I want to test if its
distribution is normal. So I 
would like to perform a one sample KS test but I
cannot find the "y" 
argument representing  the "character string naming a
distribution 
function" according to the ?ks.test help page.
It is impossible forme to have a list of these
character strings naming a 
distribution function.

I think it is "pnorm" for a normal distribution, bu I
would like to be sure...

Thanks a lot for your help,

Florence.
PS: I know that the KS test is not the best test for
normality, I also 
performed the Shapiro-Wilk test.

Dear Florence,

you should specify parameters of normal distribution
(mean and sd) see this example.


 x<-rnorm(100)
> ks.test(x,pnorm,0,1)

One-sample Kolmogorov-Smirnov test

data:  x 
D = 0.164, p-value = 0.009235
alternative hypothesis: two.sided 


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