I have the following codes:
Now, suppose I have x = runif(1000,0,1, rep(1, 250), rep(0, 100) and I want
to create a 'bin' for the 0's and the 1's and put the rest of the values in
say about 20 bins. How can this be done?

Jim





On Thu, Jul 5, 2012 at 4:08 PM, Sarah Goslee <sarah.goslee@gmail.com> wrote:

> 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 <ruipbarradas@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.silverton@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.goslee@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.silverton@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.
> >>>>
> >>>>
> >>
> >
>



-- 
Thanks,
Jim.

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