[R] DOT PLOT help!!
gunter.berton at gene.com
Mon Nov 24 17:55:45 CET 2014
Juan (and probably many others):
If you are unwilling or unable to learn R by doing some minimal work
on your own, then I think you ought to look for other statistical/data
analysis software; or, alternatively, use R from one of several GUI
interfaces that are available: R Commander, http://www.rcommander.com/
, is one that is well documented and well developed. Pestering us on
this list to tell you how to do everything from the R command line is
unfair to us and a foolish strategy for you. IMO only, of course.
Genentech Nonclinical Biostatistics
"Data is not information. Information is not knowledge. And knowledge
is certainly not wisdom."
On Mon, Nov 24, 2014 at 1:08 AM, Juan Scheun <jscheun at zoology.up.ac.za> wrote:
> Morning everyone
> I am relatively new to R and although there are tons of "how to" websites,
> some are just way over my head. I am currently trying to figure out how to
> create dot plot graphs with my data, where I have categories (i.e male
> /female) and values for each. I would like to display this as categories
> on the x axis and all values for each directly above the applicable
> category, thus not a scatter graph but in a line above for each.
> I have attached a quick picture I found on the internet to demonstrate
> roughly what I would like.
> Thank you all for your time
> Juan Scheun
> Department of Zoology and Entomology
> University of Pretoria
> Lynnwood Road
> South Africa
> Cell: +27 76 860 3315
> Email: jscheun at zoology.up.ac.za
> This message and attachments are subject to a disclaimer. Please refer to http://www.it.up.ac.za/documentation/governance/disclaimer/ for full details. / Hierdie boodskap en aanhangsels is aan 'n vrywaringsklousule onderhewig. Volledige besonderhede is by http://www.it.up.ac.za/documentation/governance/disclaimer/ beskikbaar.
> R-help at r-project.org mailing list
> 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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