Thank you very much Ilai, I'll try and implement this right away.
On 22 February 2012 18:21, ilai <ke...@math.montana.edu> wrote:
> On Wed, Feb 22, 2012 at 8:49 AM, David Winsemius <dwinsem...@comcast.net>
> wrote:
>
>>
>> After going back and constructing a proper dataset, you should be passing
>> 'groups' into the panel function and picking it up inside panel.abline.
>
> Close, but unfortunately things get more complicated when using groups
> in densityplot. A straight up panel function wouldn't work for him out
> of the box (and you/list be getting more follow ups). He'll need
> something like:
> densityplot(~value | g1, groups=g2, data= combinedlongformat,
> panel=panel.superpose, panel.groups=function(x,...,group.number){
> panel.abline(v=mean(x),lwd=(1:0)[group.number]) # seems like he only wants
> x1
> panel.densityplot(x,...)
> })
>
> At this stage in the game
> trellis.focus('panel',1,1) ; panel.abline(v=calculatedmean1)
> trellis.focus('panel',2,1) ; panel.abline(v=calculatedmean2)
> ...
> trellis.unfocus()
>
> Would probably go down easier...
>
> Just a thought
>
> Cheers,
> Elai
>
>
> You
>> can also recover the 'panel.number()' and then use them both to recover the
>> means from the global environment when inside panel.abline. I probably would
>> have used tapply to create a table with an index (in the enclosing
>> enviroment) rather than creating 4 separate values to choose That way you
>> could use one object name but construct the 4 indices. But for that to work
>> you would have needed to follow my example about binding the 4 datasets into
>> one.
>>
>>
>> One way to find previous worked examples in the rhelp Archives is to search
>> with your favorite engine on strategies like "panel.number groups Sarkar" or
>> "panel.number groups Andrews"
>>
>> Deepayan Sarkar and Felix Andrews are the two persons from whom I have
>> learned the most regarding the fine points of lattice plots.
>>
>> And will you please learn to post in plain text?
>>
>> --
>> david
>>
>>
>>> }
>>> )
>>>
>>>
>>>
>>>
>>>
>>>
>>> On 22 February 2012 13:48, David Winsemius <dwinsem...@comcast.net> wrote:
>>>
>>> On Feb 22, 2012, at 5:28 AM, josh rosen wrote:
>>>
>>> Hi,
>>>
>>> I have created two separate overlapping density plots- see example code
>>> below.
>>> What I wish now to do is combine them into one figure where they sit side
>>> by side.
>>> Any help would be great!
>>>
>>> many thanks in advance, josh.
>>>
>>> #####################
>>> thedataA <- data.frame(x1=rnorm(100,1,1),x2=rnorm(100,3,1)) #create data
>>> thedataA.m<-melt(thedataA)
>>>
>>> densityplot(~value, thedataA.m, groups=variable,auto.key=list(columns=2),
>>>
>>> panel = function(x, y, ...) {
>>> panel.densityplot(x, ...)
>>> panel.abline(v=0)
>>> }
>>> )
>>>
>>>
>>> The syntax for grouping (which gives theoverlaid but different colors as
>>> default output) and "separation" is fairly simple. Use the "|" operator for
>>> separated plots and the " .., groups= <var>, .." parameter for overlaying
>>> results. It's only going to work easily if they are all in the same dataset.
>>>
>>> Try:
>>>
>>> bigset <- cbind( rbind(thedataA.m, thedataB.m), ABgrp=rep(c("datA",
>>> "datB"), each=200) )
>>> densityplot(~value|ABgrp, data=bigset, groups=variable,
>>> auto.key=list(columns=2),
>>>
>>> panel = function(x, y, ...) {
>>> panel.densityplot(x, ...)
>>> panel.abline(v=0) } )
>>>
>>>
>>> And please work on whatever practice is producing duplicate postings.
>>>
>>> --
>>> David.
>>>
>>>
>>>
>>>
>>> thedataB <- data.frame(x1=rnorm(100,2,1),x2=rnorm(100,4,1)) #create data
>>>
>>> thedataB.m<-melt(thedataA)
>>>
>>> I assume that is a copy-paste-fail-to-correct error.
>>>
>>>
>>> densityplot(~value, thedataB.m, groups=variable,auto.key=list(columns=2),
>>>
>>> panel = function(x, y, ...) {
>>> panel.densityplot(x, ...)
>>> panel.abline(v=0)
>>> }
>>> )
>>> ######################
>>>
>>> [[alternative HTML version deleted]]
>>
>>
>>
>> David Winsemius, MD
>> West Hartford, CT
>>
>> ______________________________________________
>> 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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