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 <[EMAIL PROTECTED]> 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@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. > ______________________________________________ R-help@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.