Dear R users, I have got two samples: sample A with observation of 223: sample A has five categories: 1,2,3,4,5 (I use the numer 1,2,3,4,5 to define the five differen categories) there are 5 observations in category 1; 81 observations in category 2;110 observations in category 3; 27 observations in category 4; 0 observations in category 5; To present the sample in R: a<-rep(1:5, c(5,81,110,27,0))
sample B with observation of 504: sample B also has the same five categories: 1,2,3,4,5 there are 6 observations in category 1; 127 observations in category 2;297 observations in category 3; 72 observations in category 4; 2 observations in category 5; To present the sample in R: b<-rep(1:5, c(6,127,297,72,2)) I want to test weather these two samples have significant difference in distribution ( or Tests for Two Independent Samples). I find a webside in: http://faculty.chass.ncsu.edu/garson/PA765/mann.htm This page shows four nonparametric tests. Bust I can only find the test Kolmogorov-Smirnov Z Test. res<-ks.test(a,b) Can any one tell me which package has the other 3 tests? or Is there any other test for my question? Thanks advance Ted -- View this message in context: http://www.nabble.com/Tests-for-Two-Independent-Samples-tp24756594p24756594.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.