Turns out that
stripchart()
is the easiest way to get what I believe the OP is looking for.
Here is some example data
tmp <- data.frame( g=sample(c('M','F'), 25, replace=TRUE),
val = runif(25, 1, 10))
Then:
stripchart(val ~ g, data=tmp, vertical=TRUE)
or with some improvement to aesthetics:
stripchart(val ~ g, data=tmp, vertical=TRUE, xlim=c(0.5, 2.5))
This was actually not easy to find, and I am a very experienced R user.
help.search('dotplot')
did not find it.
require(sos)
findFn('dotplot')
did not find it.
This is despite the fact that
?stripchart
refers to itself as a function to create "dot plots".
(So I do not think the OP should be chided for having difficulty)
I did not find
dotchart()
to be useful, because it has a different concept of "dot plot", and I
could not easily find a way to make it do the version I believe the OP
wants. Unfortunately, that's what internet searching for "R dotplot" tends
to lead to.
Of course, if I misunderstand the OP request, this is so much blather!
-Don
--
Don MacQueen
Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 94550
925-423-1062
On 11/24/14, 11:21 AM, "Jeff Newmiller" <jdnew...@dcn.davis.ca.us> wrote:
>"Some" of the web sites are likely always going to be over your head. The
>correct strategy is to find some that are within reach, and work your way
>through them. If you cannot copy some example code into R and execute it
>from one of the sites that comes up when you search for "R dotplot" (e.g.
>[1]) then you won't have much success communicating in a mailing list.
>You really need to be able to give us the sequence of commands you are
>having trouble with to get useful assistance via email.
>
>One of the biggest stumbling blocks for new R users is understanding
>data, how it is imported, and how it is stored [2]. It might not seem
>like the most likely place to start, but the Intro to R document and the
>Importing Data document that come with R have a treasure trove of useful
>stuff. If you need more handholding than that then there are quite a few
>books and online courses.
>
>[1] http://www.statmethods.net/graphs/dot.html
>[2] R is interactive.. learn to use the str function and the help system
>(try typing ?str at the R prompt) to examine variables that examples are
>using.
>--------------------------------------------------------------------------
>-
>Jeff Newmiller The ..... ..... Go
>Live...
>DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live
>Go...
> Live: OO#.. Dead: OO#.. Playing
>Research Engineer (Solar/Batteries O.O#. #.O#. with
>/Software/Embedded Controllers) .OO#. .OO#.
>rocks...1k
>--------------------------------------------------------------------------
>-
>Sent from my phone. Please excuse my brevity.
>
>On November 24, 2014 1:08:39 AM PST, Juan Scheun
><jsch...@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
>>Hillcrest
>>Pretoria
>>South Africa
>>0002
>>
>>Cell: +27 76 860 3315
>>Email: jsch...@zoology.up.ac.za
>>
>>
>>
>>
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>>
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>>______________________________________________
>>R-help@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.
>
>______________________________________________
>R-help@r-project.org mailing list
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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.
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