Well, I finally found a work around. It's not pretty, but it works.
I had to alter a number of padding values for par.settings in xyplot()
and minutely control the position and panel.width in plot.trellis().
Thanks for the help.
response <- c(76, 14, 15, 44, 26, 19, 74, 123, 49, 8, 56, 17, 18)
p
Thanks, David. The warnings occur after the true problem of trying to
plot the three graphs with different scales. I should have stopped
the example after assigning all_plots <- c(...), then plotted it (and
left out the update statements). If you do this, the x-axes do not
maintain their scales.
Many thanks, Felix. Though, it seems like the x.same option should
allow this: "if TRUE, set the x scale relation to "same" and
recalculate panel limits using data from all panels. Otherwise, the x
scales in each panel will be as they were in the original objects (so
in general not the same), the
latticeExtra's c() can not combine logarithmic with linear x scales,
I'm afraid. I would recommend displaying each separate plot on one
page using plot.trellis() or the gridExtra function that John Kane
mentioned.
Cheers
Felix
On 21 July 2013 02:50, David Winsemius wrote:
>
> On Jul 19, 2013,
On Jul 19, 2013, at 8:18 PM, Jeff Stevens wrote:
> Hi,
>
> I would like to combine multiple xyplots into a single, multipanel
> display. Using R 3.0.1 in Ubuntu, I have used c() from latticeExtra
> to combine three plots, but the x-axis for two plots are on a log
> scale and the other is on a n
t; To: r-help@r-project.org
> Subject: [R] Different x-axis scales using c() in latticeExtra
>
> Hi,
>
> I would like to combine multiple xyplots into a single, multipanel
> display. Using R 3.0.1 in Ubuntu, I have used c() from latticeExtra
> to combine three plots, but t
Hi,
I would like to combine multiple xyplots into a single, multipanel
display. Using R 3.0.1 in Ubuntu, I have used c() from latticeExtra
to combine three plots, but the x-axis for two plots are on a log
scale and the other is on a normal scale. I also have included
equispace.log=FALSE to clean
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