[R] Layout of mulitpage conditioned lattice plots

[David Winsemius]

On Dec 19, 2010, at 11:23 AM, Dieter Menne wrote:

>
> Dear latticists,
>
> I would like to spread a lattice conditioned plot over multiple pages,
> keeping the same layout as if I had only one page as shown in the code
> below.
>
> My workaround is to divide the dataframe into subset that fit on one  
> page,
> but the code is ugly.
>
> Is there a build-in way to achieve this?
>
> Dieter
>
>
>
> library(lattice)
> nsubj = 13 # This number is variable
> dt = expand.grid(time=1:20,comp=LETTERS[1:3],subj=letters[1:nsubj])
> dt$val = rnorm(nrow(dt))
>
> #pdf(file="multpageOk.pdf")
> # How it should look:
> xyplot(val~time|subj+comp, data=dt,type="l",layout=c(10,3),
>  subset=as.integer(subj) <= 10)
> #dev.off()
>
> # What to do if it stretches over multiple pages, but I want the same
> # layout as above?
> pdf(file="multpage.pdf")
> xyplot(val~time|subj+comp, data=dt,type="l",layout=c(10,3))
> dev.off()

What's not working? I see two pages output with "the same layout". The  
difference is that in the second case your numbers of groups (subj x  
comp)  is not an even multiple of your layout numbers, so the 13 subj  
levels push 3 of the A's onto the new row of panels and so one.....and  
then the second page is partially filled with the 9 remaining "C"'s.

I suppose the fact that I have a default time-stamp for my lattice  
output could have some sort of side-effect.  In my .Rprofile is this  
line:

lattice.options(default.args = list(page = function(n) {
    panel.text(lab = sprintf("%s", date()), x = 0.01, y = 0.01, adj =  
0, srt=90)
}))

-- 
David Winsemius, MD
West Hartford, CT

 > sessionInfo()
R version 2.12.0 (2010-10-15)
Platform: x86_64-apple-darwin9.8.0/x86_64 (64-bit)

locale:
[1] en_US.UTF-8/en_US.UTF-8/C/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
[1] grid      splines   stats     graphics  grDevices utils      
datasets  methods   base

other attached packages:
  [1] survey_3.22-4   lubridate_0.2.3 circular_0.4    boot_1.2-43      
ggplot2_0.8.8   proto_0.3-8
  [7] reshape_0.8.3   plyr_1.2.1      gridExtra_0.7   gdata_2.8.1      
Hmisc_3.8-3     survival_2.36-1
[13] sos_1.3-0       brew_1.0-4      lattice_0.19-13

loaded via a namespace (and not attached):
[1] cluster_1.13.2 digest_0.4.2   gtools_2.6.2   stringr_0.4     
tools_2.12.0