[R] ggpairs in GGally replaces plotmatrix in ggplot2

John Kane jrkrideau at inbox.com
Wed Jun 12 16:00:14 CEST 2013


Thanks, I obviously read the help incorrectly. It does give the same results as plotmatrix(dat1)

I take back "some" of the nasty thoughts I was thinking about ggpairs(). 

Any idea of the problem with RSudio? Keith notices the same speed difference (but no crash) on a Mac while I'm runnng Ubuntu 12.10.

John Kane
Kingston ON Canada


> -----Original Message-----
> From: istazahn at gmail.com
> Sent: Tue, 11 Jun 2013 17:54:55 -0400
> To: kw1958 at gmail.com
> Subject: Re: [R] ggpairs in GGally replaces plotmatrix in ggplot2
> 
> I think the ggpairs equivalent is
> 
> ggpairs(dat1, upper=list(continuous="points"), axisLabels="show")
> 
> oddly enough.
> 
> ggpairs(dat1)
> 
> should default to the same graph as
> 
> plotmatrix(dat1)
> 
> but there seems to be a conflict between the default
> axisLabels="internal" and density plots. Or something. There is a bug
> report at https://github.com/ggobi/ggally/issues/18 that may be
> related.
> 
> Best,
> Ista
> 
> On Tue, Jun 11, 2013 at 4:07 PM, Keith S Weintraub <kw1958 at gmail.com>
> wrote:
>> Yes. I was able to run it in RStudio but it did seem much slower than in
>> R.app (on the Mac).
>> 
>> Note that the "it" that I ran still didn't give the same results as
>> plotmatrix.
>> 
>> Thanks,
>> KW
>> 
>> --
>> 
>> On Jun 11, 2013, at 11:16 AM, John Kane <jrkrideau at inbox.com> wrote:
>> 
>>> Note that the code below might not work in RStudio.  I am gettting an
>>> intermittant crash when I use the ggpairs() command in RStudio and
>>> sometimes I get a density plot and sometimes not.  Also the command is
>>> taking 3-5 minutes to execute.
>>> 
>>> This may just be a peculiarity of my machine but the code works fine
>>> and fairly fast in a terminal.
>>> 
>>> John Kane
>>> Kingston ON Canada
>> 
>> ______________________________________________
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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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