On 14-Feb-10 07:42:12, Faiz Rasool wrote: > I am trying to perform goodness of fit test using R. I am using this > website > http://wiener.math.csi.cuny.edu/Statistics/R/simpleR/stat013.html > for help. However, I am unable to carry out the test successfully. My > code follows. It is taken from the website just mentioned. > freq=c(22,21,22,27,22,36) # frequencies obtained after # rolling the dice 150 times. prob=c(1,1,1,1,1,1)/6 # specify expected frequency for each category. chisq.test(freq,p=prob) # I do not know what this line means. # I just followed instructions on the website. > > The erorr I receive is "erorr in chisq.test(freq,p=prob)/6 > probabilities must sum to 1" > > I am very new to R, so any help would be appreciated. > Faiz.
I suspect that you must have made an error in entering the commands into R. Prime suspect: You did not have 6 1's in p -- for example you may have put prob=c(1,1,1,1,1)/6 (with only five). I copied your code (as trivially reformatted above) straight into R using copy&paste with the mouse, with results: freq=c(22,21,22,27,22,36) # frequencies obtained after # rolling the dice 150 times. prob=c(1,1,1,1,1,1)/6 # specify expected frequency for each category. chisq.test(freq,p=prob) # I do not know what this line means. # Chi-squared test for given probabilities # data: freq # X-squared = 6.72, df = 5, p-value = 0.2423 # I just followed instructions on the website. So it worked as it should work. Therefore something went wrong when you entered the code. Check your input! Hoping this helps, Ted. -------------------------------------------------------------------- E-Mail: (Ted Harding) <ted.hard...@manchester.ac.uk> Fax-to-email: +44 (0)870 094 0861 Date: 14-Feb-10 Time: 09:02:01 ------------------------------ XFMail ------------------------------ ______________________________________________ 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.