Which gives Jim two ways to arrive at exactly the same result, just different means of specifying the probs for quantile().
Sarah On Thu, Jul 5, 2012 at 4:01 PM, Rui Barradas <ruipbarra...@sapo.pt> wrote: > Hello, > > With the confusion between bin size and width the OP started, I'll repost my > answer with a final line. Sorry for the repetition. > > > h <- hist(x, breaks=quantile(x, probs=seq(0, 1, by=1/20))) > h$counts > [1] 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 > > > Hope this helps, > > Rui Barradas > > Em 05-07-2012 20:47, Sarah Goslee escreveu: >> >> There's no reason you can't do that with normally-distributed data, >> though I'm not sure why you'd want to. My point was rather that you >> can't specify the bin width and size both. If you let the bin size >> vary, this will work: >> >> set.seed(1234) >> mydata <- rnorm(1000, mean = 2, sd = 4) >> mydata.hist <- hist(mydata, breaks=quantile(mydata, probs=seq(0, 1, >> length.out = length(mydata)/50 + 1))) >> mydata.hist$counts >> >> >> Sarah >> >> On Thu, Jul 5, 2012 at 3:37 PM, Jim Silverton <jim.silver...@gmail.com> >> wrote: >>> >>> Thanks Sarah!! >>> Ok so if I have say x = runif(1000,0,1) say instead if the normal and I >>> want >>> a histogram with bins that have an equal number of observations. For >>> example >>> if I want each bin to have 50 observations, how do I do this? >>> >>> >>> >>> On Thu, Jul 5, 2012 at 3:34 PM, Sarah Goslee <sarah.gos...@gmail.com> >>> wrote: >>>> >>>> >>>> Hi Jim, >>>> >>>> You can't specify both number of bins and bin size. You can specify >>>> breaks: either the number of bins or the location of breakpoints. A >>>> histogram with 20 bins of 50 observations each must by definition come >>>> from a uniform distribution. >>>> >>>> What are you trying to accomplish? >>>> >>>> Sarah >>>> >>>> On Thu, Jul 5, 2012 at 3:29 PM, Jim Silverton <jim.silver...@gmail.com> >>>> wrote: >>>>> >>>>> I have a column of 1000 datapoints from the normal distribution with >>>>> mean 2 >>>>> and variance 4. How can I get a histogram of these observations with 20 >>>>> bins with each bin having 50 observations? >>>>> >>>>> -- >>>>> Thanks, >>>>> Jim. >>>> >>>> >> > ______________________________________________ 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.