[R] tests of lognormal distribution in R

From: Hyunchul Kim <sundol313_at_naver.com>
Date: Fri, 15 Feb 2008 15:23:45 +0900

Hi all,

I have a data of lognormal distribution (sample size > 1,000,000).

What I want to do is
1) to test if my dataset is a lognormal distribution or not (Histogram shows a nice normal distribution in log scale but I want to check) 2) two subsets from this dataset have same mean or not (like "t test" of normal distribution)

What I tried are
1) ad.test{truncgof} of R, which is a "Supremum Class Anderson-Darling test" but I got error message.

What I had problems are
1) Memory error happen with error message of "cannot allocate vector of size 1.0GB" and I cannot increase the computer spec. 2) I don't know what is "t test" of lognormal.

What I am thinking is
1) Is it OK to convert the data in log scale and do perform t test to say these dataset has same mean?

How can I solve my problem?
Thank you for any comments.


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