It's not the simulated data, but how hist() handled it. If you use truehist() in the MASS package, you don't see the problem. Nor would you see it like this:
> table(temp)/length(temp) temp 0 1 2 3 4 5 6 7 8 9 10 11 0.0745 0.0745 0.0830 0.0755 0.0760 0.0750 0.0700 0.0765 0.0775 0.0805 0.0830 0.0765 12 0.0775 Andy > From: mirage sell > > Hi everyone, I need help. > I want to have a "uniform" kind distribution. When I used > sample function I > got almost twice many zeros compared to other numbers. What's > wrong with my > command ? > > temp <-sample(0:12, 2000, replace=T,prob=(rep(1/13,13))) > hist(temp) > > Thanks in advance, > > Taka, > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html > > > ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html