[R] histogram plots with many different samples

hadley wickham h.wickham at gmail.com
Wed Mar 25 19:17:24 CET 2009


Or use frequency polygons, if you want to stay with the
interpretability of a histogram.
Hadley

On Wed, Mar 25, 2009 at 12:07 PM, Greg Snow <Greg.Snow at imail.org> wrote:
> Personally I find those types of plots difficult to interpret.  Much easier to create, view, and interpret is to simply plot the lines from density estimates.  See the density function or the logspline package.
>
> --
> Gregory (Greg) L. Snow Ph.D.
> Statistical Data Center
> Intermountain Healthcare
> greg.snow at imail.org
> 801.408.8111
>
>> -----Original Message-----
>> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
>> project.org] On Behalf Of evrim akar
>> Sent: Wednesday, March 25, 2009 8:40 AM
>> To: r-help at r-project.org
>> Subject: [R] histogram plots with many different samples
>>
>> Dear R users,
>>
>> I would like to draw some histograms as seen in the page whose address
>> I
>> wrote below. I searched through the web a lot and I found a page which
>> describes how I can do it for older versions of R. For newer versions
>> they
>> recommend to install the package R.basics in R.clusters but this does
>> not
>> exist. The address of the web page is
>> http://www1.maths.lth.se/help/R/plot.histogram/
>>
>> Unfortunately I could not find any other resource or help. Is it
>> possible to
>> make histograms like I wanted with R? If so, could you please give any
>> advise on how I can do it?
>>
>> Thank you,
>>
>> Regards,
>>
>> evrim
>>
>>       [[alternative HTML version deleted]]
>>
>> ______________________________________________
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>> PLEASE do read the posting guide http://www.R-project.org/posting-
>> guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>
> ______________________________________________
> R-help at 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.
>



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