Then you can just write a 'for' loop to write out each submatrix: for (i in 1:dim(x)[3]){ write.csv(x[,,i], paste("x", i, ".csv", sep="")) }
On 7/30/07, Dong GUO 郭东 <[EMAIL PROTECTED]> wrote: > the dim of my results is (26,31,8) -(years, regions and variables). so, if i > save each (years, regions) in 8 csv files, later, I could connect the > (26,31) to dbf file in ArcGIS to show in a map. This is what I intend to do. > > I dont know a better way to do it directly in R... > > > On 7/31/07, jim holtman <[EMAIL PROTECTED]> wrote: > > It really depends on how you want it output. You can use 'write.csv' > > to write an array out and it will be a 2-dimentional image that you > > could then reconstruct it from if you know what the dimensions were. > > What do you want to do with the data? If you are just going to read > > it back into R, then use save/load. > > > > On 7/29/07, Dong GUO 郭东 < [EMAIL PROTECTED]> wrote: > > > Hi, > > > > > > I want to save an array(say, array[6,7,8]) write a cvs file. How can I > do > > > that??? can I write in one file? > > > > > > if I could not write in one file, i want to use a loop to save in > different > > > files (in the array[6,7,8], should be 8 csv files), such as the filename > > > structure should be: file ="filename" +str(i) +"." +"csv" > > > > > > Many thanks. > > > > > > [[alternative HTML version deleted]] > > > > > > ______________________________________________ > > > R-help@stat.math.ethz.ch 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. > > > > > > > > > -- > > Jim Holtman > > Cincinnati, OH > > +1 513 646 9390 > > > > What is the problem you are trying to solve? > > > > -- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem you are trying to solve?
______________________________________________ R-help@stat.math.ethz.ch 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.