Typical suggestions would be to sample from the data or use alpha
blending (translucency).
Best wishes;
uwe Ligges
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
______________________________________________
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.
______________________________________________
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.
