Yes, use xlim=c(0, 30) in your definition of P1
On Tue, Aug 12, 2014 at 7:26 AM, Naser Jamil <jamilnase...@gmail.com> wrote:
> Dear Richard and Duncan,
> your suggestions are absolutely serving what I need. But I would like to
> see x-axis to be up to 30 instead of 20. Do you have any suggestion on that?
>
> Many thanks for your kind help.
>
> Regards,
>
> Jamil.
>
>
> On 12 August 2014 01:22, Duncan Mackay <dulca...@bigpond.com> wrote:
>
>> Hi
>>
>> If you want a 1 package and 1 function approach try this
>>
>> xyplot(conc ~ time | factor(subject, levels = c(2,1,3)), data = data.d,
>> par.settings = list(strip.background = list(col = "transparent")),
>> layout = c(3,1),
>> aspect = 1,
>> type = c("b","g"),
>> scales = list(alternating = FALSE),
>> panel = function(x,y,...){
>>
>> panel.xyplot(x,y,...)
>>
>> # f1<-function(x,v,cl,t)
>> # (x/v)*exp(-(cl/v)*t) f1(0.5,0.5,0.06,t),
>> panel.curve((0.5/0.5)*exp(-(0.06/0.5)*x),0,30)
>>
>> }
>> )
>>
>> # par.settings ... if you are publishing show text better
>> # with factor if you want 1:3 omit the levels
>> # has advantage of doing more things than in groupedData as Doug Bates has
>> said
>>
>> Regards
>>
>> Duncan Mackay
>> Department of Agronomy and Soil Science
>> University of New England
>> Armidale NSW 2351
>> Email: home: mac...@northnet.com.au
>>
>> -----Original Message-----
>> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
>> On
>> Behalf Of Naser Jamil
>> Sent: Monday, 11 August 2014 19:06
>> To: R help
>> Subject: [R] Superimposing graphs
>>
>> Dear R-user,
>> May I seek your help to sort out a little problem. I have the following
>> codes
>> to draw two graphs. I want to superimpose the second one on each of the
>> first one.
>>
>> ########################################
>>
>> library(nlme)
>> subject<-c(1,1,1,2,2,2,3,3,3)
>> time<-c(0.0,5.4,21.0,0.0,5.4,21.0,0.0,5.4,21.0)
>> con.cohort<-c(1.10971703,0.54535512,0.07176724,0.75912539,0.47825282,
>> 0.10593292,1.20808375,0.47638394,0.02808967)
>>
>> data.d=data.frame(subject=subject,time=time,conc=con.cohort)
>> grouped.data<-groupedData(formula=conc~time | subject, data =data.d)
>>
>> plot(grouped.data)
>>
>> ##########################################
>>
>> f1<-function(x,v,cl,t) {
>> (x/v)*exp(-(cl/v)*t)
>> }
>> t<-seq(0,30, .01)
>> plot(t,f1(0.5,0.5,0.06,t),type="l",pch=18, ylim=c(), xlab="time",
>> ylab="conc")
>>
>>
>> ###########################################
>>
>> Any suggestion will really be helpful.
>>
>>
>> Regards,
>>
>> Jamil.
>>
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
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>> and provide commented, minimal, self-contained, reproducible code.
>>
>>
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
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> and provide commented, minimal, self-contained, reproducible code.
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