Hi all, Why not only?
set.seed(54321) X <- 5*rnorm(500) hist(X,label=TRUE,ylim=c(0,200)) Thanks, Jorge On Thu, May 8, 2008 at 8:26 PM, Ted Harding <[EMAIL PROTECTED]> wrote: > On 09-May-08 00:12:46, David Scott wrote: > > On Thu, 8 May 2008, Roslina Zakaria wrote: > > > >> Dear R-expert, > >> For histogram function, can we get the table of bin and > >> frequency like in excel, together with the histogram? > >> Therefore, we can check the number of data included. > >> Thank you so much for your attention and help. > > > > Easy one: just use the argument plot=FALSE and hist will produce the > > counts etc for you > > > > David Scott > > Well, there's a slightly nicer way than that! (Don't forget that > we're competing with Excel here ... ). > > Since the value of hist() includes breakpoints and counts, > you can get the plot and the table as follows: > > set.seed(54321) > X <- 5*rnorm(500) > H<-hist(X) ### Here you get the histogram drawn > B<-H$breaks ; C<-H$counts ; k<-length(B) > cbind(From=B[1:(k-1)],To=B[2:k],Count=C) ### Here bins and frequencies > # From To Count > #[1,] -15 -10 16 > #[2,] -10 -5 69 > #[3,] -5 0 181 > #[4,] 0 5 149 > #[5,] 5 10 71 > #[6,] 10 15 14 > > So we can indeed "get the table of bin and frequency like > in excel, together with the histogram". > > Best wishes to all, > Ted. > > -------------------------------------------------------------------- > E-Mail: (Ted Harding) <[EMAIL PROTECTED]> > Fax-to-email: +44 (0)870 094 0861 > Date: 09-May-08 Time: 01:26:35 > ------------------------------ 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. > [[alternative HTML version deleted]] ______________________________________________ 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.
