Re: [R] Statistical question re assessing fit of distribution functions.

On Tue, 23 Sep 2008, Ted Byers wrote: Thanks Timur While assessing whether or not the best option would be a normal distribution (it won't be, the data in this case LOOKS more poisson, or if I explude the first week of results, a negative exponential; and in my other case, cauchy is more likel

Re: [R] Statistical question re assessing fit of distribution functions.

Thanks Timur While assessing whether or not the best option would be a normal distribution (it won't be, the data in this case LOOKS more poisson, or if I explude the first week of results, a negative exponential; and in my other case, cauchy is more likely), I really need a test that can be appl

Re: [R] Statistical question re assessing fit of distribution functions.

If one of the goals is the normality test, then there may be better alternatives to the Kolmogorov-Smirnov test. See an explanation on: http://graphpad.com/FAQ/viewfaq.cfm?faq=959 The R implementation: ?shapiro.test A casual search also turned this up: http://tolstoy.newcastle.edu.au/R/help/04/09

[R] Statistical question re assessing fit of distribution functions.

I am in a situation where I have to fit a distrution, such as cauchy or normal, to an empirical dataset. Well and good, that is easy. But I wanted to assess just how good the fit is, using ks.test. I am concerned about the following note in the docs (about the example provided): "Note that the