If you are after all the possible percentages with two decimal places, why don't you use this:
seq(from=0, to=100, by=.01)/100 I'm not really sure what you are trying to do in terms of rows and columns, however. Can you be a bit more specific on what each row/column is? Are you trying to group the numbers so that all the entries in a row add up to 100% and then, once it does, split the following entries onto the next row until they add up to 100%, etc.? Thanks. ________________________________ From: wwreith <reith_will...@bah.com> To: r-help@r-project.org Sent: Friday, October 12, 2012 10:30 AM Subject: [R] Autofilling a large matrix in R I wish to create a matrix of all possible percentages with two decimal place percision. I then want each row to sum to 100%. I started with the code below with the intent to then subset the data based on the row sum. This works great for 2 or 3 columns, but if I try 4 or more columns the number of rows become to large. I would like to find a way to break it down into some kind of for loop, so that I can remove the rows that don't sum to 100% inside the for loop rather than outside it. My first thought was to take list from 1:10, 11:20, etc. but that does not get all of the points. g<-as.matrix(expand.grid(rep(list(1:100), times=3))) Any thoughts how to split this into pieces? -- View this message in context: http://r.789695.n4.nabble.com/Autofilling-a-large-matrix-in-R-tp4645991.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org 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. [[alternative HTML version deleted]]
______________________________________________ R-help@r-project.org 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.
