On 2010-09-02 22:16, Jocelyn Paine wrote:
Greg, thanks for the suggestion. That's useful to know for future work.
It's not so good in this case, because I'm making the plots for a
colleague who doesn't know R, and it would be a bother for me to have to
send him several files and him reassemble them. What I did was to use
pairs.panels, as suggested by William Revelle on this thread.
I'd like to ask a general question about the interface though. There's a
size below which individual scatterplots are not legible. It makes no
sense at all for a scatterplot routine to plot them at that size or
smaller. So why didn't the author(s) of 'pairs' program it so that it
always makes them at least legible size, and expands the image window
until it can fit them all in?
Regards,
Jocelyn Paine
http://www.j-paine.org
+44 (0)7768 534 091
Hmm, I had no trouble creating and viewing William's pdf file.
I was also able to view the pairs plot fairly well on my screen.
And that's on my laptop. Perhaps my display has better resolution
than yours.
Your suggestion to "expand the image window until it can fit them
all in" would, at the very least, involve determining the resolution
of the display device. But even then, there's bound to be someone
who'll want a pairs plot for 1000 variables.
As usual with R, improvements are always welcome.
You could submit appropriate code and, if it is deemed useful,
I'm fairly sure that a better pairs() function will become
part of Rx.xx.x.
-Peter Ehlers
Jocelyn's Cartoons:
http://www.j-paine.org/blog/jocelyns_cartoons/
On Tue, 31 Aug 2010, Greg Snow wrote:
Look at the pairs2 function in the TeachingDemos package, this lets you
produce smaller portions of the total scatterplot matrix at a time (with
bigger plots), you could print the smaller portions then assemble the
full matrix on a large wall, or just use it to look at potentially
interesting parts.
--
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.s...@imail.org
801.408.8111
-----Original Message-----
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
project.org] On Behalf Of Jocelyn Paine
Sent: Monday, August 30, 2010 10:21 PM
To: r-help@r-project.org
Subject: [R] Making plots in big scatterplot matrix large enough to see
I've got a data frame with 23 columns, and wanted to plot a scatterplot
matrix of it. I called
pairs( df )
where 'df' is my data frame. This did generate the matrix, but the
plotting window did not expand to make the individual plots large
enough
to see. Each one was only about 10 pixels high and wide.
I tried sending the plot to a file, with a high and wide image,
by doing
png( "plot.png", width = 4000, height = 4000 )
but I got these errors:
Error in png( "plot.png", width = 4000, height = 4000 ) :
unable to start device
In addition: Warning messages:
1: In png( "plot.png", width = 4000, height = 4000 ) :
Unable to allocate bitmap
2: In png( "plot.png", width = 4000, height = 4000 ) :
opening device failed
The messages aren't helpful, because they don't tell you _why_ R can't
start the device, allocate it, or open it. The documentation for png
says:
Windows imposes limits on the size of bitmaps: these are not
documented
in the SDK and may depend on the version of Windows. It seems that
width
and height are each limited to 2^15-1.
However, 2^15-1 is 32767, so that isn't the problem here. I tried
various
values for height and width. 2400 was OK, but 2500 wasn't. So it seems
R
can't produce plots that are more than about 2400 pixels square. This
is
with R 2.10.1.
Why is png failing on big images? Also, what's the recommended way to
make
a file containing a scatterplot matrix when you have lots of variables?
'pairs' is a very useful function, but obviously one does need to be
careful when doing this, and I don't know what experts would recommend.
Do
you loop round the variables plotting each pair to a different file? I
was
hoping that I could put them all into one very big image and view parts
of
it at a time.
Thanks,
Jocelyn Paine
http://www.j-paine.org
http://www.spreadsheet-parts.org
+44 (0)7768 534 091
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