Thanks David,
I was hoping for something a little bit more generic and less
case-by-case basis.
Sebastien
On 7/30/2015 3:51 PM, David Winsemius wrote:
On Jul 30, 2015, at 8:37 AM, sbihorel wrote:
Hi,
When the as.layer function is used to overaly 2 lattice plots, there seems to be an assumption that
the data used in both plots will generate the same number of panels (and, I believe, in the same
order). In case the data used in the plot within the as.layer call is incomplete , data may be
plotted on the "wrong" panel, and data seem to get re-used on the last panel(s). See what
happens in the example code below when the records with state.region=="South" are
dropped...
Is there a trick to overlay panel based upon the conditioning variable value
rather than the panel order?
require(lattice)
require(latticeExtra)
state2 <- state <- data.frame(state.x77,state.region)
state2$Income <- sample(state2$Income)
state3 <- state2[which(state2$state.region!="South"),]
foo <- xyplot(Income~Population|state.region,data=state,main='foo')
foo
bar <- update(foo,main='bar') +
as.layer(xyplot(Income~Population|state.region,data=state2,col='red'))
bar
bar2 <- update(foo,main='bar2') +
as.layer(xyplot(Income~Population|state.region,data=state3,col='red'))
bar2
I don't know if this works using the `+.lattice` function but it is possible to
selectively update panels using `trellis.focus`
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