[R] Frequency Distribution

Michael Zatorsky miczat at yahoo.com
Tue Aug 8 23:41:01 CEST 2006


Thankyou William.

I found the package and read through the
documentation.  I'm not a statistican, so it was
largely over my head.  I was looking for a
command/function that described itself as performing a
frequency distribution, and could not find anything
obvious enough.

What did you have in mind in the package that you
thought may help? 

All I'm looking to do is ask it to give me frequencies
and cumulative frequencies for the whole dataset,
using intervale widths of 100 or 1000 (in much the
same way the data would have to have been binned
before producing a histogram.


Regards
Michael.

--- William Asquith <wasquith at austin.rr.com> wrote:

> You might be interested in the lmomco package that
> supports many  
> nontraditional and traditional distributions.
> 
> William A.
> 
> 
> On Aug 8, 2006, at 9:00 AM, Michael Zatorsky wrote:
> 
> > Hi,
> >
> > Could someone please suggest where I might find
> some
> > instructions / tutorials / FAQs that describe how
> to
> > create a frequency distribution and cumulative
> > frequency distribution in R using different class
> > withs.
> >
> > I have about a 2-million observations (distances
> > between points ranging from sub-millimetre to
> about
> > 400km, and I want to get a feel for how they are
> > distributed).
> >
> > I'd like the output as a table / data rather than
> an
> > graph.
> >
> > I've searched Google and R's help for obvious
> terms,
> > and while I've found much information on
> > graphing/plotting, I haven't hit on anything for
> this.
> >
> > (I only downloaded R about 2 hours ago, apologies
> if
> > this is obviously documented somewhere I missed.)
> >
> > Regards
> > Michael.
> >
> > Send instant messages to your online friends
> http:// 
> > au.messenger.yahoo.com
> >
> > ______________________________________________
> > R-help at stat.math.ethz.ch 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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