[R] Splitting a data frame into several completely separate data frames
Hello again, How do I split a data frame into smaller, completely separate data frames (rather than separate data frames comprising a single list)? Consider the following data, and my coding attempt: x - read.table(textConnection(id type number indv.1 bagel 6 indv.2 bagel 1 indv.3 donuts 10 indv.4 donuts 9), header = TRUE) closeAllConnections() x.split - split(x, x$type) This is where I'm stuck. Now I have one list comprised of different data frames, but what I want is separate data frames. Ideally, I'd like to design a loop to give sequentially-numbered names to the separate data frames I create. This is because my real data will have many more than two groups (i.e., many more types of things than just bagels versus donuts) and the number of groups will vary when I apply the same code to different data sets. Many thanks in advance for your replies! --- Josh Banta, Ph.D Center for Genomics and Systems Biology New York University 100 Washington Square East New York, NY 10003 Tel: (212) 998-8465 http://plantevolutionaryecology.org [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Splitting a data frame into several completely separate data frames
On 26.09.2010 14:52, Josh B wrote: Hello again, How do I split a data frame into smaller, completely separate data frames (rather than separate data frames comprising a single list)? Consider the following data, and my coding attempt: x- read.table(textConnection(id type number indv.1 bagel 6 indv.2 bagel 1 indv.3 donuts 10 indv.4 donuts 9), header = TRUE) closeAllConnections() x.split- split(x, x$type) Although I doubt it is more convenient to have so many data.frames around (rather than having them nicely grouped in a list), you can simply do that in a loop: for(i in names(x.split)) assign(paste(nameOfDataFrame, i, sep=_), temp[[i]]) Uwe Ligges This is where I'm stuck. Now I have one list comprised of different data frames, but what I want is separate data frames. Ideally, I'd like to design a loop to give sequentially-numbered names to the separate data frames I create. This is because my real data will have many more than two groups (i.e., many more types of things than just bagels versus donuts) and the number of groups will vary when I apply the same code to different data sets. Many thanks in advance for your replies! --- Josh Banta, Ph.D Center for Genomics and Systems Biology New York University 100 Washington Square East New York, NY 10003 Tel: (212) 998-8465 http://plantevolutionaryecology.org [[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. __ 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.
Re: [R] Splitting a data frame into several completely separate data frames
On Sun, Sep 26, 2010 at 8:52 AM, Josh B josh...@yahoo.com wrote: Hello again, How do I split a data frame into smaller, completely separate data frames (rather than separate data frames comprising a single list)? Consider the following data, and my coding attempt: x - read.table(textConnection(id type number indv.1 bagel 6 indv.2 bagel 1 indv.3 donuts 10 indv.4 donuts 9), header = TRUE) closeAllConnections() x.split - split(x, x$type) This is where I'm stuck. Now I have one list comprised of different data frames, but what I want is separate data frames. Ideally, I'd like to design a loop to give sequentially-numbered names to the separate data frames I create. This is because my real data will have many more than two groups (i.e., many more types of things than just bagels versus donuts) and the number of groups will vary when I apply the same code to different data sets. Its normally better to keep them in a list but if you must: attach(x.split) bagel id type number 1 indv.1 bagel 6 2 indv.2 bagel 1 Note that the attach puts the individual data frames in position 2 of your search list and not in your workspace so its mainly useful if you don't need to modify them. e.g. try this to see your search list: search() and this to list them: ls(2) [1] bagel donuts ls(as.environment(x.split)) [1] bagel donuts If you want to be able to modify them or to have them directly in your global workspace then use Uwe's answer. -- Statistics Software Consulting GKX Group, GKX Associates Inc. tel: 1-877-GKX-GROUP email: ggrothendieck at gmail.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.
