Hi, I'm using the ks.test() on two vectors. I looked up the reference and also coded up a version of the two sample Smirnov test. My question is that how can I decide from the output of R that the two vectors x & y come from the same distribution?
Am I correct in assuming that smaller D values indicate that they come from the same distribution? In addition how can I use the p value that is supplied in the output? In my code I decided (as described by Conover) by calculating the 1-alpha quantile and if D was greater than this value, the H_0 is rejected. However I dont calculate a P value. Is this method significantly different from the method used in R? Since I get the same value of D in both methods is there any reason to prefer one over the other? Thanks, ------------------------------------------------------------------- Rajarshi Guha <[EMAIL PROTECTED]> <http://jijo.cjb.net> GPG Fingerprint: 0CCA 8EE2 2EEB 25E2 AB04 06F7 1BB9 E634 9B87 56EE ------------------------------------------------------------------- After a number of decimal places, nobody gives a damn. ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
