Dear ExpeRts,
I have the scatter plot matrix as given below. I would like the different "sub-plots" in the scatter plot matrix to be colored differently. How do I get all points shown in the upper-left plot (on position (1,1) in the scatter plot matrix) to be plotted in blue, and the points shown in the plot to the right (on position (1,2) in the scatter plot matrix) to be plotted in red? More generally, how can I provide a matrix of colors to be used by splom() such that all data points in the corresponding sub-plot of the scatter plot matrix are shown in the specified color?
Cheers,
Marius
Here is the code:
library(lattice)
entrymat=matrix(0,nrow=3,ncol=3)
entrymat[1,2]="black"
entrymat[1,3]="blue"
entrymat[2,3]="red"
entrymat=t(entrymat)
splom(~iris[,1:3],superpanel=function(z,...){
mymat.df=data.frame(rows=as.vector(row(entrymat)),cols=as.vector(col(entrymat)),entries=as.vector(entrymat))
mymat.df=subset(mymat.df,cols<rows)
with(mymat.df,{
panel.text(x=rows,y=cols,labels=entries)
})
panel.pairs(z,upper.panel=panel.splom,lower.panel=function(...){},...)
},varnames=c("1","2","3")
)
Lattice: How to color the data points in splom() according to the panel they are plotted?
4 messages · Marius Hofert, Deepayan Sarkar, Peter Ehlers
1 day later
Marius Hofert wrote:
Dear ExpeRts,
I have the scatter plot matrix as given below. I would like the different "sub-plots" in the scatter plot matrix to be colored differently. How do I get all points shown in the upper-left plot (on position (1,1) in the scatter plot matrix) to be plotted in blue, and the points shown in the plot to the right (on position (1,2) in the scatter plot matrix) to be plotted in red? More generally, how can I provide a matrix of colors to be used by splom() such that all data points in the corresponding sub-plot of the scatter plot matrix are shown in the specified color?
Cheers,
Marius
Here is the code:
library(lattice)
entrymat=matrix(0,nrow=3,ncol=3)
entrymat[1,2]="black"
entrymat[1,3]="blue"
entrymat[2,3]="red"
entrymat=t(entrymat)
splom(~iris[,1:3],superpanel=function(z,...){
mymat.df=data.frame(rows=as.vector(row(entrymat)),cols=as.vector(col(entrymat)),entries=as.vector(entrymat))
mymat.df=subset(mymat.df,cols<rows)
with(mymat.df,{
panel.text(x=rows,y=cols,labels=entries)
})
panel.pairs(z,upper.panel=panel.splom,lower.panel=function(...){},...)
},varnames=c("1","2","3")
)
I think that you will have to modify panel.pairs to get what you want. But I must admit that I can't see why you would want such a plot. What's achieved by having different colours in different subpanels? And you would lose the ability to colour groups differently (or things would become really complicated and messy). Attached is a modified panel.pairs function (but don't let Deepayan see it; he'll probably be horrified by the kludginess). Source the file and then try: splom(~iris[1:3], superpanel = mypanel.pairs, clrmat = matrix(1:9,3,3)) splom(~iris[1:3], superpanel = mypanel.pairs, clrmat = matrix(c(NA,1,1,2,NA,4,2,6,NA),3,3)) theclrs <- matrix(c(NA,1,1,1,2,NA,3,3,2,4,NA,4,2,5,5,NA),4,4) splom(~iris[1:4], superpanel = mypanel.pairs, clrmat = theclrs) -Peter Ehlers
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On Sat, Jan 16, 2010 at 11:56 PM, Peter Ehlers <ehlers at ucalgary.ca> wrote:
Marius Hofert wrote:
Dear ExpeRts,
I have the scatter plot matrix as given below. I would like the different
"sub-plots" in the scatter plot matrix to be colored differently. How do I
get all points shown in the upper-left plot (on position (1,1) in the
scatter plot matrix) to be plotted in blue, and the points shown in the plot
to the right (on position (1,2) in the scatter plot matrix) to be plotted in
red? More generally, how can I provide a matrix of colors to be used by
splom() such that all data points in the corresponding sub-plot of the
scatter plot matrix are shown in the specified color?
Cheers,
Marius
Here is the code:
library(lattice)
entrymat=matrix(0,nrow=3,ncol=3)
entrymat[1,2]="black"
entrymat[1,3]="blue"
entrymat[2,3]="red"
entrymat=t(entrymat)
splom(~iris[,1:3],superpanel=function(z,...){
?mymat.df=data.frame(rows=as.vector(row(entrymat)),cols=as.vector(col(entrymat)),entries=as.vector(entrymat))
? ? ? ?mymat.df=subset(mymat.df,cols<rows)
? ? ? ? ? ? ? ?with(mymat.df,{
? ? ? ? ? ? ? ? ? ? ? ?panel.text(x=rows,y=cols,labels=entries)
? ? ? ? ? ? ? ?})
?panel.pairs(z,upper.panel=panel.splom,lower.panel=function(...){},...)
? ? ? ?},varnames=c("1","2","3")
)
I think that you will have to modify panel.pairs to get what you want. But I must admit that I can't see why you would want such a plot. What's achieved by having different colours in different subpanels? And you would lose the ability to colour groups differently (or things would become really complicated and messy).
Thanks, I was going to say the same thing, except that it would be conceptually simpler just to add the 'i' and 'j' values as arguments to the "panel" function (the 'pargs' variable). The colors could then be passed through as part of the ... arguments, and the relevant entry extracted in the panel function. The other option is to keep a global counter and increment it inside the panel function, and choosing colors based on that counter and knowledge of the order in which panels are drawn. Not very elegant, but the least intrusive solution I can think of. -Deepayan
Deepayan Sarkar wrote:
On Sat, Jan 16, 2010 at 11:56 PM, Peter Ehlers <ehlers at ucalgary.ca> wrote:
Marius Hofert wrote:
Dear ExpeRts,
I have the scatter plot matrix as given below. I would like the different
"sub-plots" in the scatter plot matrix to be colored differently. How do I
get all points shown in the upper-left plot (on position (1,1) in the
scatter plot matrix) to be plotted in blue, and the points shown in the plot
to the right (on position (1,2) in the scatter plot matrix) to be plotted in
red? More generally, how can I provide a matrix of colors to be used by
splom() such that all data points in the corresponding sub-plot of the
scatter plot matrix are shown in the specified color?
Cheers,
Marius
Here is the code:
library(lattice)
entrymat=matrix(0,nrow=3,ncol=3)
entrymat[1,2]="black"
entrymat[1,3]="blue"
entrymat[2,3]="red"
entrymat=t(entrymat)
splom(~iris[,1:3],superpanel=function(z,...){
mymat.df=data.frame(rows=as.vector(row(entrymat)),cols=as.vector(col(entrymat)),entries=as.vector(entrymat))
mymat.df=subset(mymat.df,cols<rows)
with(mymat.df,{
panel.text(x=rows,y=cols,labels=entries)
})
panel.pairs(z,upper.panel=panel.splom,lower.panel=function(...){},...)
},varnames=c("1","2","3")
)
I think that you will have to modify panel.pairs to get what you want. But I must admit that I can't see why you would want such a plot. What's achieved by having different colours in different subpanels? And you would lose the ability to colour groups differently (or things would become really complicated and messy).
Thanks, I was going to say the same thing, except that it would be conceptually simpler just to add the 'i' and 'j' values as arguments to the "panel" function (the 'pargs' variable). The colors could then be passed through as part of the ... arguments, and the relevant entry extracted in the panel function. The other option is to keep a global counter and increment it inside the panel function, and choosing colors based on that counter and knowledge of the order in which panels are drawn. Not very elegant, but the least intrusive solution I can think of.
Now why didn't I think of that? The global counter seems to me the way to go. But, of course, I still see very little need for this option. -Peter