[R] Lattice xyplot

[peter dalgaard]

> On 1 May 2017, at 17:59 , Bert Gunter <bgunter.4567 at gmail.com> wrote:
> 
> (Too trivial for the list)

...so you decided to include us only once? >;-)

-pd

> 
> I debated saying something similar but decided not to, as polygons can
> be drawn e.g. via panel.polygon.
> 
> Cheers,
> Bert
> 
> 
> 
> 
> On Mon, May 1, 2017 at 8:25 AM, Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote:
>> It is not a question of whether lattice "understands" the unsorted data... imagine trying to plot 4 points to form a square instead of a trend line... you would NOT want lattice to sort those points for you. That lattice leaves your data alone gives you more flexibility, even while it adds work for certain applications.
>> 
>> --
>> Sent from my phone. Please excuse my brevity.
>> 
>> On May 1, 2017 7:34:09 AM PDT, Bert Gunter <bgunter.4567 at gmail.com> wrote:
>>> 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 at 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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>>>> PLEASE do read the posting guide
>>> http://www.R-project.org/posting-guide.html
>>>> and provide commented, minimal, self-contained, reproducible code.
>>> 
>>> ______________________________________________
>>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>>> 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 at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> 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.

-- 
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Office: A 4.23
Email: pd.mes at cbs.dk  Priv: PDalgd at gmail.com