A bootstrap Kolmogorov-Smirnoff test will have the correct test level even if there are ties---i.e., even if non-continuous distributions are being compared. See Abadie, Alberto. 2002. ``Bootstrap Tests for Distributional Treatment Effects in Instrumental Variable Models.'' Journal of the American Statistical Association, 97:457 (March) 284-292.
The algorithm is implemented in the ks.boot function of the Matching package: http://sekhon.berkeley.edu/matching/ks.boot.html Cheers, Jas. ======================================= Jasjeet S. Sekhon Associate Professor Travers Department of Political Science Survey Research Center UC Berkeley http://sekhon.berkeley.edu/ V: 510-642-9974 F: 617-507-5524 ======================================= Oarabile Molaodi writes: > I am trying to determine whether two samples are identical or not. I'm > aware that somebody can use the Kolmogorov-Smirnoff test to compare > empirical distributions, but since my samples have ties I'm not sure if > I'm getting the right p-values for the comparison. Can the > Kolmogorov-Smirnoff test be adjusted for the case when ties exists and > are there any functions that already exists in R ( Kolmogorov-Smirnoff > test )performing that can be used in the case of the existance of ties? > > Thank you in advance for your help. > > Oarabile > > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
