I'm attempting to use xyplot() within a for() loop to plot the relationship between a DV and a series of predictor variables, split by 2 conditioning variables. However, xyplot() does not "seem" to be recognized within the for() loop; I don't receive any error message, but nothing is plotted and a plotting device is not opened. When I use the generic function plot(), everything works as expected. I'm using R v1.9.0 and lattice v0.9-11.
Here's a trivial example:
### create single outcome and two predictors
> y.tmp <- rnorm(20) ; x1.tmp <- rnorm(20) ; x2.tmp <- rnorm(20)
### combine into data.frame
> tmp.df <- data.frame(y.tmp, x1.tmp, x2.tmp)
> tmp.df
y.tmp x1.tmp x2.tmp
1 1.5022759 -0.150326662 -1.36627981
[snip]
20 1.2667825 -0.070356651 -0.38433160### simple loop calling the columns of tmp.df to specify x variables
> for (i in 2:3){
+ plot(tmp.df$y.tmp ~ tmp.df[,i])
+ }
### works fine for plot()### try the same with xyplot()
> for (i in 2:3){
+ xyplot(tmp.df$y.tmp ~ tmp.df[,i])
+ }
### nothing happens; no error msg; no plotting device opened> xyplot(tmp.df$y.tmp ~ tmp.df[,2]) ### without loop works fine and plots relationship of x1.tmp and y.tmp
Can someone see what I'm missing? Any directions/pointers appreciated.
cheers, Dave [EMAIL PROTECTED]
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