Many thanks for the help I received from people yesterday regarding vector quantiles. I have a question regarding the Kolmogorov-Smirnov test. I have a vector of 1000 numbers (called 'data') which I suspect to follow a chi-squared distribution with 9 df so I am running the command: ks.test(data, "pchisq", df=9) I am continually getting a p-value of < 2.2e-16 which is leading to a continual conclusion that my numbers are not equal to the distribution being tested. I have tried changing the number of df and although the value of D statistic changes (ranging from 0.2 to 1) I always get a p-value of < 2.2e-16 What I am doing wrong here and is there any way to forc R to give me any more detail about the calculation it has carried out? Thanks in advance Laura -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._