One possibility is to arrange it as a 3-dimensional array with two 5 x 5 matrices (i.e. a 5 x 5 x 2 array):
arrD3<-array(dim=c(5,5,2)) # the first matrix is (e.g.) random normal deviates: mat1<-matrix(rnorm(25),nrow=5,ncol=5) # the second matrix is (e.g.) random uniform deviates: mat2<-matrix(runif(25),nrow=5,ncol=5) # populating your 3-d array: arrD3[,,1]<-mat1 arrD3[,,2]<-mat2 # to see what it looks like: arrD3 On Fri, Jan 15, 2016 at 2:57 PM, Matteo Richiardi < matteo.richia...@gmail.com> wrote: > Hi Daniel, > thanks for your answer. How can I populate the array with the > matrixes? Suppose I want to populate it with 10 matrixes > > matrix(NA,5,5) > > Matteo > > > On 15 January 2016 at 22:26, Dalthorp, Daniel <ddalth...@usgs.gov> wrote: > > How about: D<-array(dim=c(d1, d2, d3))? > > > > > > > > On Fri, Jan 15, 2016 at 2:20 PM, Matteo Richiardi > > <matteo.richia...@gmail.com> wrote: > >> > >> What is the best way to store data in a cube? That is, I need to create > a > >> data structure D with three indexes, say i,j,h, so that I can access > each > >> data point D[i,j,h], and visualise sections like D[i,j,] or D[,,h]. > >> > >> I have tried to create an array of matrixes: > >> > >> D <-matrix(matrix(NA,i,j),h) > >> > >> but then D[i] returns a number, and not a matrix. > >> > >> I imagine this is a dummy question, but I did search for an answer on > >> various R help sites, and found nothing straightforward. Being an > >> inexperienced R user, I prefer a simple solution, even at some > efficiency > >> cost. > >> > >> Many thanks for your help. > >> Matteo > >> > >> [[alternative HTML version deleted]] > >> > >> ______________________________________________ > >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > >> 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. > > > > > > > > > > -- > > Dan Dalthorp, PhD > > USGS Forest and Rangeland Ecosystem Science Center > > Forest Sciences Lab, Rm 189 > > 3200 SW Jefferson Way > > Corvallis, OR 97331 > > ph: 541-750-0953 > > ddalth...@usgs.gov > > > -- Dan Dalthorp, PhD USGS Forest and Rangeland Ecosystem Science Center Forest Sciences Lab, Rm 189 3200 SW Jefferson Way Corvallis, OR 97331 ph: 541-750-0953 ddalth...@usgs.gov [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
