Yes. type = "l" connects the points in the order given in the data, so
if the x's are not already ordered, the plots will be different after
ordering the x's.
e.g.
> x <- c(3,1,2,4,6,5)
> y <- 11:16
> xyplot(y~x. type = "l")
As for why ... that's just the way it was designed. You can always
order the data first, if you don't want this default.
Cheers,
Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Sun, Apr 30, 2017 at 6:07 PM, array chip via R-help
<r-help@r-project.org> wrote:
> Dear all, I am new to lattice, so would appreciate anyone's help on the
> questions below. I am using xyplot to plot some trend in my dataset. Using
> the example dataset attached, I am trying to plot variable "y" over variable
> "time" for each subject "id":
> dat<-read.table("dat.txt",sep='\t',header=T,row.names=NULL)
> xyplot(y ~ time, data=dat, groups=id, aspect = "fill", type = c("p", "l"),
> xlab = "Time", ylab = "Y")
>
> It appears that it just worked fine. But if I sort the "dat" first, the plot
> will look somewhat different!
> dat<-dat[order(dat$id, dat$time),]xyplot(y ~ time, data=dat, groups=id,
> aspect = "fill", type = c("p", "l"), xlab = "Time", ylab = "Y")
> Why is that? Do you need to sort the data first before using xyplot? Why
> xyplot can not understand the dataset unless it is sorted first?
> Thanks,
> John
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