On 01.03.2010 16:15, Trafim Vanishek wrote:
Dear all,
I have a question regarding performing test if the data fits chi-squared
distribution.
For example, using ks.test()
I found in the examples how to fit it to gamma or weibull
x<-rnorm(100)
ks.test(x, "pweibull", shape=2,scale=1)
for the gamma, pgamma can be used
But I cannot find the value of this second parameter for the chi-squared
distribution.
Maybe someone experienced the similar problem?
So you are dealing with pchisq? About which parameter are you unsure?
The second of pchisq is df (degrees of freedom).
If you do not know the distribution to compare with, I doubt the KS test
is the best one for you.
Best,
Uwe Ligges
Thanks a lot!
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