[R] overlaying 2D grid on randomly distributed points

Hi, I have a cloud of randomly distributed points in 2-dimensional space and want to set up a grid, with a given grid-cell size, that minimizes the distance between my points and the grid nodes. Does anyone know of an R function or toolbox that somehow addresses this problem? This is a problem o

Re: [R] overlaying 2D grid on randomly distributed points

How about this? require(FNN) #FOR DEMONSTRATION PURPOSES, GENERATE 2D DATA set.seed(3242) X <- matrix(runif(50),ncol=2) plot(X,pch=16,cex=1.5, asp=1) #PLOT GRID grid <- as.matrix(expand.grid(seq(0,1,by=.1),seq(0,1,by=.1)) ) abline(v=unique(grid[,1]),col="#FF30") abline(h=unique(grid[,2]),co

Re: [R] overlaying 2D grid on randomly distributed points

Gonçalo, Interesting question. You can use the optim() function to optimize a function over two dimensions. Here's an example. # some clumpy "cloud" data myx <- c(0.3 + rnorm(50, 0, 0.05), 0.7 + rnorm(50, 0, 0.05)) myy <- c(0.45 + rnorm(50, 0, 0.05), 0.65 + rnorm(50, 0, 0.05)) # size of the fi