[R] Lattice: multiple data sets on same plot

[Joel Thomas]

Thank you! Worked perfectly.
Is it also possible to do the same but for circular data, for example,
a density plot of circular object from the circular package using a
trellis display. I have the same set of data but var1 and var2 are
azimuth directions 0-360 so a standard density plot doesn't make much
sense.

Example data set is same as before except,
 pop <- data.frame(var1=runif(2000, 0, 360), var2=runif(2000, 0, 360))

Thanks
Joel

2009/12/3 Felix Andrews <felix at nfrac.org>:
> library(reshape)  ## the easy way
> xx <- melt(x)
> head(xx)
>
> densityplot(~ value | cat1 * cat2, xx, groups = paste(variable, which),
>            plot.points=FALSE, auto.key=list(columns=2),
>            par.settings = simpleTheme(col = c("red","blue"), lty=c(1,1,2,2)))
>
>
> Hint: using multiple terms in the formula as you did actually maps
> into the "groups" argument. It is generally not a good a idea to do
> that when you also specify "groups" directly.
>
>
> 2009/12/3 Joel Thomas <joeliol at gmail.com>:
>> Hi,
>> I have two data sets; one is a population and the other a sample of
>> that population. I am trying to plot both on the same trellis display.
>>
>> # Example data set with two numerical attributes and two categorical
>> pop <- data.frame(var1=rnorm(2000, 2000, 500), var2=rnorm(2000, 2000, 500))
>>
>> cat<-(runif(2000)<=.5)+0
>> for(i in 1:length(cat)){
>>   if(cat[i] == 0){
>>      pop[i,"cat1"] = "this"
>>   }
>>   else{
>>      pop[i,"cat1"] = "that"
>>   }
>> }
>> cat<-(runif(2000)<=.5)+0
>> for(i in 1:length(cat)){
>>   if(cat[i] == 0){
>>      pop[i,"cat2"] = "here"
>>   }
>>   else{
>>      pop[i,"cat2"] = "there"
>>   }
>> }
>>
>> #Extract sample
>> sam <- pop[sample(1:2000,50),]
>>
>> #Combine data sets
>> x <- make.groups(pop, sam)
>>
>> #Create trellis display
>> densityplot(~var1 + var2 | cat1 * cat2, data=x, groups=which,
>> plot.points=FALSE, auto.key=list(columns=2))
>>
>>
>> This does not produce what I want. I would like four density plots in
>> each panel; var1 and var2 from the sample data as solid lines and var1
>> and var2 from the population data as dotted lines with matching
>> colours.
>>
>> densityplot(~ var1 + var2 | cat1 * cat2, data=x, groups=which,
>>      panel=panel.superpose,
>>      panel.groups = function(x, y,...){
>>        panel.densityplot(x, ...)
>>        })
>>
>> ... gives the same result.
>>
>> I've read "The panel function demystified" section of the book many
>> times and still find the panel function mystifying. Could someone
>> please explain how to do this and also how it works. Thankyou
>>
>> ______________________________________________
>> R-help at 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.
>>
>
>
>
> --
> Felix Andrews / 安福立
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