[R] suggestions for plotting 5000 data points

[Tania Oh]

sorry, I made a slight typo in the code below, it should be


mat3 <-matrix(sample(1:5000),nrow=5000,ncol=3, byrow=TRUE)
colnames(mat3) <- c("human","mouse", "chicken")
mat3 <-data.frame(mat3)
mat3$model <- factor( rep(  "Model 3"),  labels="model3")


## code I used for parallel

require(lattice)
parallel( ~ mat3[1:3]|model , mat3,varnames = c("human\ndnds", "mouse 
\ndnds", "chicken\ndnds") )


so very sorry to clog up your inboxes,
tania

On 3 Oct 2008, at 15:17, Tania Oh wrote:

> Dear all,
>
> I have a collection of 5000 entries which represent the evolutionary  
> rates of 3 animals.
>
> I would like to show the differences between the rates of all 3  
> animals and have tried using the function parallel (from the lattice  
> package) and pairs() function.
>
> The parallel function would have been perfect save for the large  
> number of data (5000). The pairs() function doesn't show the  
> difference explicitly. Does anyone have any suggestions on  
> representing such data or have done similar plots?
>
> I attach some simulated data:
>
> mat3 <-matrix(sample(1:5000),nrow=5000,ncol=3, byrow=TRUE)
> colnames(mat3) <- c("human","mouse", "chicken")
> mat3 <-data.frame(mat3)
> mat2$model <- factor( rep(  "Model 3"),  labels="model3")
>
>
> ## code I used for parallel
>
> require(lattice)
> parallel( ~ mat3[1:3]|model , mat3,varnames = c("human\ndnds", "mouse 
> \ndnds", "chicken\ndnds") )
>
>
> any suggestions or pointers would be greatly appreciated.
>
> many thanks
> tania
>
> D.phil student
> Department of Physiology, Anatomy and Genetics
>
>
>