[R] barplot as histogram

Jesse Brown jesse.r.brown at lmco.com
Fri Nov 4 20:09:18 CET 2011

I believe that plot(..., type='h') will do the trick. I had tried that 
earlier but forgot to play with the lwd parameter.

Incidentally, I didn't know about getAnywhere(hist.default) - really 
handy. I was reading the code to find the details.



R. Michael Weylandt wrote:
> Perhaps
> plot(xs, ys, type = "h", lwd = 3)
> will work?
> I'm not sure that a direct call to hist(, plot = F) will get around
> the data problems. If you type getAnywhere(hist.default) you can see
> the code that runs hist(): perhaps you can extract the working bits
> you need.
> Michael
> On Fri, Nov 4, 2011 at 2:04 PM, Jesse Brown <jesse.r.brown at lmco.com> wrote:
>> Hello:
>> I'm dealing with an issue currently that I'm not sure the best way to
>> approach. I've got a very large (10G+) dataset that I'm trying to create a
>> histogram for. I don't seem to be able to use hist directly as I can not
>> create an R vector of size greater than 2.2G. I considered condensing the
>> data  previous to loading it into R  and just plotting the frequencies as a
>> barplot; unfortunately, barplot does not support plotting the values
>> according to a set of x-axis positions.
>> What I have is something similar to:
>> ys <- c(12,3,7,22,10)
>> xs <- c(1,30,35,39,60)
>> and I'd like the bars (ys) to appear at the positions described by xs. I can
>> get this to work on smaller sets by filling zero values in for missing ys
>> for the entire range of xs but in my case this would again create a vector
>> too large for R.
>> Is there another way to use the two vectors to create a simulated frequency
>> histogram? Is there a way to create a histogram object (as returned by hist)
>> from the condensed data so that plot would handle it correctly?
>> Thanks in advance,
>> Jesse
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