[R] Power law, lognormal end exponenntial statistical testing in one sample population

From: ΠΑΝΤΟΠΟΥΛΟΣ ΓΕΩΡΓΙΟΣ <gpantop_at_upatras.gr>
Date: Mon, 11 Feb 2008 15:45:38 +0200 (EET)


Hello,
My name is George Pantopoulos, i am a phd student in the Dept. of Geology, University of Patras, Greece.
I am studying the statistical behaviour of bed thickness datasets taken from outcrops. Until now, 4 statistical distributions seems to fit my datasets: power law, lognormal, lognormal mixture with 2 modes and exponential.
I already used the MIX package of R to detect a possible 2 mode lognormal mixture in the datasets.
My questions are :
Can i do ONE POPULATION non-parametric tests (ks or x2) in R for the above distributions, with the distribution parameters NOT estimated from the data ? (especially for the ks test). If yes , is it possible for someone to show me the exact steps that i must follow in R ? Also, must i generate artificial populations of data to do what i want ? The datasets are in text files, one variable (bed thicknesses only). Please if somebody knows how to do something of the above in R , it would be valuable for my work.
Thank you.



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