R help - Aug 2006 - index.cond in xyplot

Dear R-users

I have 5 dependent variables (y1 to y5) and one independent variable (x) and 
3 conditioning variables (m, n, and 0). Each of the conditioning variables 
has 2 levels.  I created 2*4 panel plots.

xyplot(y1+y2+y3+y4+y5 ~ x | m*n*o,layout = c(4,2))

I would like to reorder the 8 panels. I tried to use index.cond (e.g., 
index.cond = list(c(1,3,2,4,5,7,6,8)) but it didn't work out. I got a error 
message "Error in cond.orders(foo) : Invalid value of index.cond".
Please
let me know if I didn't use index.cond argument properly.

I looked at the example in R-help but all examples have just only one 
conditioning variable.

Is there any way I can arrange the panels in whatever order I want ?

Thanks

Taka

That's not a valid specification.  See the description of the index.cond
argument in ?xyplot and in particular this part:

               If 'index.cond' is a list, it has to be as long as the
number of
               conditioning variables, and the 'i'-th component has to
be a valid
               indexing vector for the integer vector '1:nlevels(g_i)'
               (which can, among other things, repeat some of the
               levels or drop some altogether).

Thus in your case index.cond is a list with three components and
each of those components can specify a vector of the levels of interest in
the order of interest.

For example, compare the output of these two to get the idea where
CO2 is a builtin data set:

xyplot(conc ~ uptake | Type * Treatment, CO2, index.cond = list(1:2, 1:2))
xyplot(conc ~ uptake | Type * Treatment, CO2, index.cond = list(1:2, 2:1))

On 8/9/06, Taka Matzmoto <sell_mirage_ne at hotmail.com>
wrote:
> Dear R-users
>
> I have 5 dependent variables (y1 to y5) and one independent variable (x)
and
> 3 conditioning variables (m, n, and 0). Each of the conditioning variables
> has 2 levels.  I created 2*4 panel plots.
>
> xyplot(y1+y2+y3+y4+y5 ~ x | m*n*o,layout = c(4,2))
>
> I would like to reorder the 8 panels. I tried to use index.cond (e.g.,
> index.cond = list(c(1,3,2,4,5,7,6,8)) but it didn't work out. I got a
error
> message "Error in cond.orders(foo) : Invalid value of
index.cond". Please
> let me know if I didn't use index.cond argument properly.
>
> I looked at the example in R-help but all examples have just only one
> conditioning variable.
>
> Is there any way I can arrange the panels in whatever order I want ?
>
> Thanks
>
> Taka
>
> ______________________________________________
> R-help at stat.math.ethz.ch 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.
>

On 8/9/06, Taka Matzmoto <sell_mirage_ne at hotmail.com>
wrote:
> Dear R-users
>
> I have 5 dependent variables (y1 to y5) and one independent variable (x)
and
> 3 conditioning variables (m, n, and 0). Each of the conditioning variables
> has 2 levels.  I created 2*4 panel plots.
>
> xyplot(y1+y2+y3+y4+y5 ~ x | m*n*o,layout = c(4,2))
>
> I would like to reorder the 8 panels. I tried to use index.cond (e.g.,
> index.cond = list(c(1,3,2,4,5,7,6,8)) but it didn't work out. I got a
error
> message "Error in cond.orders(foo) : Invalid value of
index.cond". Please
> let me know if I didn't use index.cond argument properly.
Gabor has already explained why this is wrong.
> I looked at the example in R-help but all examples have just only one
> conditioning variable.
>
> Is there any way I can arrange the panels in whatever order I want ?
Think of a lattice plot as a an array, with each conditioning variable
defining a dimension. In your case, it's a 3-dimensional array. If you
assign the result of the xyplot call to a variable, you can reorder
the indices just like an array, e.g.:

p <- xyplot(y1+y2+y3+y4+y5 ~ x | m*n*o,layout = c(4,2))
p[, 2:1,  1]

(this is just a convenient way of specifying index.cond). You cannot
arrange the panels ``any way you want'', you can only rearrange
columns/rows/whatever.

If you really do want an arbitrary arrangement, then you don't want 3
different conditioning variables, you want only one. If you want a
separate panel for each combination of m, n and o, create a new factor
as their interaction, e.g.

p <- xyplot(y1+y2+y3+y4+y5 ~ x | m:n:o,layout = c(4,2))

Then, you have a one-dimensional vector-like object, which you can reorder by

p[c(1,3,2,4,5,7,6,8)]

etc.

-Deepayan