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.
Thanks!
Jesse
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.br...@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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