You should reshape the data into a long format, and an easy way to do
that is to use the 'reshape' package:

library(reshape)
mdat <- melt(dat, measure.vars = c("y1", "y2", "y3"))

I'm still not sure what you want in the plot. Confusingly, your last
example dropped the "ID" you referred to earlier, and appears to use
"grp1" in the same role.

Maybe something like this:

xyplot(value ~ x | paste(gp2, gp3), mdat,
       groups = paste(variable, gp1), type = "l",
       auto.key = list(lines = TRUE, columns = 3),
       par.settings = simpleTheme(col = 1:8, lty = rep(1:3, each = 8)))



2010/1/5 Santosh <santosh2...@gmail.com>:
> Thanks for your email.. Yes, I am looking for lattice version of matplot...
> Attached are some codes for simplicity for rapid testing..Any suggestions
> would be highly appreciated...
>
> library(lattice)
> dat <- data.frame(x = rep(1:10,2),
>                  y1 = rnorm(20),
>                  y2=rnorm(20,sd=1.3),
>                  y3=rnorm(20,sd=0.3),
>                  gp1 = rep(letters[1:8],each=10),
>                  gp2=rep(LETTERS[1:4],each=20),
>                  gp3=rep(c("P","Q"),each=40))
>
> pset <- simpleTheme(lty = c(0,1,2), col=c("blue","red","green"))
> xyplot(y1+y2+y3~x|factor(gp3)+factor(gp2),
>        data=dat,
>        groups=gp1,
>        allow.multiple=T,
>        panel=panel.superpose,
>        distribute.type=T,
>        type=c("b","l","l"),
>        par.settings=pset,
>        strip=strip.custom(strip.names=F,strip.levels=T))
>
> Thanks..
> Santosh
>
>
> On Mon, Jan 4, 2010 at 11:16 PM, Dennis Murphy <djmu...@gmail.com> wrote:
>
>> Hi:
>>
>> I think Santosh wants a Lattice version of matplot. I didn't find anything
>> with help.search(), though...
>>
>> Dennis
>>
>>
>> On Mon, Jan 4, 2010 at 8:14 PM, Santosh <santosh2...@gmail.com> wrote:
>>
>>> Hi,
>>> Thanks for your email..
>>>
>>> Each panel (in a multiple panel) is identified by "DS1, DS2 & DS3" in the
>>> dataset sent earlier. I would like an overlay of Y1, Y2 & Y3 (each by
>>> different lines) for each ID in the group. Each ID in the group is
>>> represented by a color.
>>>
>>> Regards & Thanks,
>>> Santosh
>>>
>>> On Mon, Jan 4, 2010 at 5:07 PM, Peter Ehlers <ehl...@ucalgary.ca> wrote:
>>>
>>> > Can you clarify how many curves you want in each panel?
>>> > You have 3 Ys and your original email indicated at least
>>> > 7 ID values. Do you really want 21 curves in each panel?
>>> > Or do you want separate panels for the Ys?
>>> >
>>> > Re your code: note that, regarding a formula of the
>>> > type y1 + y2 ~ x, ?xyplot says:
>>> >
>>> > "This feature cannot be used in conjunction with
>>> > the groups argument."
>>> >
>>> >  -Peter Ehlers
>>> >
>>> > Santosh wrote:
>>> >
>>> >> Hi Jim and others,
>>> >>
>>> >> I tried suggestions and somehow the graphs do not seem to be aligned on
>>> >> X-axis (i.e. they appear to be shifted on x-axis).. I guess
>>> panel.xyplot
>>> >> or
>>> >> panel.superpose is needed? I am not sure what the "group" variable be
>>> >> panel.xyplot, whether it is the "ID" or the "newFactor". I tried
>>> >> panel.xyplot(x,y,) with "group=ID" and "group=newFactor" and it did not
>>> >> work.
>>> >>
>>> >> Your suggestions would be highly appreciated!!
>>> >>
>>> >> Regards,
>>> >> Santosh
>>> >>
>>> >> On Thu, Dec 31, 2009 at 6:59 PM, jim holtman <jholt...@gmail.com>
>>> wrote:
>>> >>
>>> >>  I am not too sure if this is what you are after, but I just created a
>>> new
>>> >>> factor for the panel:
>>> >>>
>>> >>> # create a new factor
>>> >>> d1$newFactor <- factor(paste(d1$DS1, "+", d1$DS2, "+", d1$DS3))
>>> >>> xyplot(Y1+Y2+Y3~X1|newFactor,data=d1,group=ID)
>>> >>>
>>> >>>
>>> >>> On Thu, Dec 31, 2009 at 6:25 AM, Santosh <santosh2...@gmail.com>
>>> wrote:
>>> >>>
>>> >>>  Dear R experts,
>>> >>>> Wish you all a HAPPY NEW YEAR!
>>> >>>>
>>> >>>> How do I go about plotting (using lattice) overlays of an ID
>>> (group=ID)
>>> >>>> observed, fitted data in each panel of a multiple panel plot (each
>>> panel
>>> >>>> identified by DS1 + DS2 + DS3)? "x" variable is X1 in the
>>> accompanying
>>> >>>> section of a dataset. each individual is identified by color and Y's
>>> are
>>> >>>> identified by "pch" or "lty".
>>> >>>>
>>> >>>> I guess the code goes something like the one below, but could not get
>>> >>>> the
>>> >>>> proper use of panel functions....
>>> >>>>
>>> >>>> xyplot(Y1+Y2+Y3~X1|DS1+DS2+DS3,data=d1,group=ID,...)...
>>> >>>>       [[alternative HTML version deleted]]
>>> >>>>
>>> >>>> ______________________________________________
>>> >>>>
>>> >>>> R-help@r-project.org mailing list
>>> >>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>> >>>> PLEASE do read the posting guide
>>> >>>> http://www.R-project.org/posting-guide.html<
>>> >>>> http://www.r-project.org/posting-guide.html>
>>> >>>>
>>> >>>> and provide commented, minimal, self-contained, reproducible code.
>>> >>>>
>>> >>>>
>>> >>>
>>> >>> --
>>> >>> Jim Holtman
>>> >>> Cincinnati, OH
>>> >>> +1 513 646 9390
>>> >>>
>>> >>> What is the problem that you are trying to solve?
>>> >>>
>>> >>>
>>> >>        [[alternative HTML version deleted]]
>>> >>
>>> >> ______________________________________________
>>> >> R-help@r-project.org 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.
>>> >>
>>> >>
>>> >>
>>> > --
>>> > Peter Ehlers
>>> > University of Calgary
>>> > 403.202.3921
>>> >
>>>
>>>        [[alternative HTML version deleted]]
>>>
>>> ______________________________________________
>>> R-help@r-project.org 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.
>>>
>>
>>
>
>        [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help@r-project.org 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.
>



-- 
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Fenner School of Environment and Society [Bldg 48a]
The Australian National University
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