On 20/11/11 16:27, Carl Witthoft wrote:
This question attacked me as I was thinking about matrix value updates.
I probably will never need to do this, but wanted to ask if there are
efficient methods to perform the for-loop in the following sequence.
%xymat<-matrix(rep(0,100) nr=10,nc=10) # empty matrix
%x<-1:10
%y<-sample.int(10,10,rep=T)
%for (j in 1:10) xymat[x[j],y[j]] <- some_function(x[j],y[j]) #to
create either false-color or 3D map .
plot(0:1,0:1,t='n')
% rasterImage(xymat/max(xymat),0,0,1,1,interp=F)
This will produce a raster image of the original data(x vs y) that
looks like plot(x,y) .
Anyway, I just seem to be blanking: is there some vectorized way to
place values, or even a constant value, into all elements of xymat
whose row,col coordinates match ordered pairs in x and y ?
Yes. Use ``xymat[m]'' where m is a 2-column matrix of row and column
indices.
E.g.:
xymat <- matrix(0,nrow=10,ncol=10)
x <- 1:10
y <- sample.int(10,10,rep=TRUE)
set.seed(42)
for (j in 1:10) xymat[x[j],y[j]] <- runif(1)
gorp <- matrix(0,nrow=10,ncol=10)
set.seed(42)
gorp[cbind(x,y)] <- runif(10)
all.equal(xymat,gorp) # TRUE!!!
cheers,
Rolf Turner
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