[R] Possible to "import" histograms in R?
nick.chorley at gmail.com
Wed Aug 15 11:55:30 CEST 2007
On 15/08/07, Vladimir Eremeev <wl2776 at gmail.com> wrote:
Nick Chorley-3 wrote:
> I have a large amount of data that I would like to create a histogram of
> plot and do things with in R. It is pretty much impossible to read the
> into R, so I have written a program to bin the data and now have a list of
> counts in each bin. Is it possible to somehow import this into R and use
> hist(), so I can, for instance, plot the probability density? I have
> at the help page for hist(), but couldn't find anything related to this
Hi! And why do you think, its impossible to import the data in R?
It can handle rather large data volumes, especially in Linux. Just study
My data file is 4.8 GB!
You can plot something looking like a histogram using barplot() or plot(...
The problem with those is that I can't plot the probability density.
You can create the "histogram" class object manually.
[ import bin counts... probably, it is a table of 2 columns, defining bin
borders and counts.
let's store it in ncounts. ]
Yes, that's what I have.
> str(hst) # actually I called hist(rnorm(100))
List of 7
$ breaks : num [1:10] -2.5 -2 -1.5 -1 -0.5 0 0.5 1 1.5 2
$ counts : int [1:9] 3 6 12 9 24 19 14 9 4
$ intensities: num [1:9] 0.06 0.12 0.24 0.18 0.48 ...
$ density : num [1:9] 0.06 0.12 0.24 0.18 0.48 ...
$ mids : num [1:9] -2.25 -1.75 -1.25 -0.75 -0.25 0.25 0.75 1.25 1.75
$ xname : chr "rnorm(100)"
$ equidist : logi TRUE
- attr(*, "class")= chr "histogram"
> hst$breaks <- [ bsdfgsdghsdghdfgh ]
> hst$counts <- [ asfd109,mnasdfkjhdsfl ]
> hst$intensities <-
My data isn't normally distributed, so I tried rexp() rather than rnorm(), but it's not looking like it should
Studying the hist.default() sources will help you to understand, how every
list element is created.
View this message in context: http://www.nabble.com/Possible-to-%22import%22-histograms-in-R--tf4271809.html#a12158586
Sent from the R help mailing list archive at Nabble.com.
R-help at stat.math.ethz.ch mailing list
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
More information about the R-help