Hello, My problem is that I would like to merge multiple files with a common column but merge accepts only two data.frames to merge. In the real situation, I have 26 different data.frames with a common column. I can of course use merge many times (see below) but what would be more sophisticated solution? For loop? Any ideas? DF1 <- data.frame(var1 = letters[1:5], a = rnorm(5)) DF2 <- data.frame(var1 = letters[3:7], b = rnorm(5)) DF3 <- data.frame(var1 = letters[6:10], c = rnorm(5)) DF4 <- data.frame(var1 = letters[8:12], d = rnorm(5)) g <- merge(DF1, DF2, by.x="var1", by.y="var1", all=T) g <- merge(g, DF3, by.x="var1", by.y="var1", all=T) merge(g, DF4, by.x="var1", by.y="var1", all=T) Thanks in advance. -Lauri
Hi: Below is a TOTAL HACK and I don't recommend it but it does seem to do what you want. I think that I remember Gabor saying that you can merge multiple data frames using zoo but I don't know the specifics. I'm sure he'll respond with the correct way. Below uses a global variable to access the dataframe inside the loop and keeps adding on to it. Don't use it unless you're really desperate for a solution. DF <- DF1 for ( .df in list(DF2,DF3,DF4) ) { DF<<-merge(DF,.df,by.x="var1", by.y="var1", all=T) } print(DF) On Thu, Feb 19, 2009 at 5:21 AM, Lauri Nikkinen wrote:> Hello, > > My problem is that I would like to merge multiple files with a common > column but merge accepts only two > data.frames to merge. In the real situation, I have 26 different > data.frames with a common column. I can of course use merge many times > (see below) but what would be more sophisticated solution? For loop? > Any ideas? > > DF1 <- data.frame(var1 = letters[1:5], a = rnorm(5)) > DF2 <- data.frame(var1 = letters[3:7], b = rnorm(5)) > DF3 <- data.frame(var1 = letters[6:10], c = rnorm(5)) > DF4 <- data.frame(var1 = letters[8:12], d = rnorm(5)) > > g <- merge(DF1, DF2, by.x="var1", by.y="var1", all=T) > g <- merge(g, DF3, by.x="var1", by.y="var1", all=T) > merge(g, DF4, by.x="var1", by.y="var1", all=T) > > Thanks in advance. > > -Lauri > > ______________________________________________ > R-help at 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.
Hi, I think Reduce could help you. DF1 <- data.frame(var1 = letters[1:5], a = rnorm(5)) DF2 <- data.frame(var1 = letters[3:7], b = rnorm(5)) DF3 <- data.frame(var1 = letters[6:10], c = rnorm(5)) DF4 <- data.frame(var1 = letters[8:12], d = rnorm(5)) g <- merge(DF1, DF2, by.x="var1", by.y="var1", all=T) g <- merge(g, DF3, by.x="var1", by.y="var1", all=T) g <- merge(g, DF4, by.x="var1", by.y="var1", all=T) test <- Reduce(function(x, y) merge(x, y, all=T,by.x="var1", by.y="var1"), list(DF1, DF2, DF3, DF4), accumulate=F) all.equal(test, g) # TRUE As a warning, it's the first time I've ever used it myself... Hope this helps, baptiste On 19 Feb 2009, at 10:21, Lauri Nikkinen wrote:> Hello, > > My problem is that I would like to merge multiple files with a common > column but merge accepts only two > data.frames to merge. In the real situation, I have 26 different > data.frames with a common column. I can of course use merge many times > (see below) but what would be more sophisticated solution? For loop? > Any ideas? > > DF1 <- data.frame(var1 = letters[1:5], a = rnorm(5)) > DF2 <- data.frame(var1 = letters[3:7], b = rnorm(5)) > DF3 <- data.frame(var1 = letters[6:10], c = rnorm(5)) > DF4 <- data.frame(var1 = letters[8:12], d = rnorm(5)) > > g <- merge(DF1, DF2, by.x="var1", by.y="var1", all=T) > g <- merge(g, DF3, by.x="var1", by.y="var1", all=T) > merge(g, DF4, by.x="var1", by.y="var1", all=T) > > Thanks in advance. > > -Lauri > > ______________________________________________ > R-help at 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._____________________________ Baptiste Augui? School of Physics University of Exeter Stocker Road, Exeter, Devon, EX4 4QL, UK Phone: +44 1392 264187 http://newton.ex.ac.uk/research/emag
Another option using Recall, merge.rec <- function(.list, ...){ if(length(.list)==1) return(.list[[1]]) Recall(c(list(merge(.list[[1]], .list[[2]], ...)), .list[-(1:2)]), ...) } my.list <- list(DF1, DF2, DF3, DF4) test2 <- merge.rec(my.list, by.x="var1", by.y="var1", all=T) all.equal(test2, g) Note that your second example does not work because in the last step there are no common names between g and DF4 (I think). Using suffixes=c("", "") seems to do the trick but I'm not sure it's giving the result you want/expect. Hope this helps, baptiste On 19 Feb 2009, at 10:21, Lauri Nikkinen wrote:> Hello, > > My problem is that I would like to merge multiple files with a common > column but merge accepts only two > data.frames to merge. In the real situation, I have 26 different > data.frames with a common column. I can of course use merge many times > (see below) but what would be more sophisticated solution? For loop? > Any ideas? > > DF1 <- data.frame(var1 = letters[1:5], a = rnorm(5)) > DF2 <- data.frame(var1 = letters[3:7], b = rnorm(5)) > DF3 <- data.frame(var1 = letters[6:10], c = rnorm(5)) > DF4 <- data.frame(var1 = letters[8:12], d = rnorm(5)) > > g <- merge(DF1, DF2, by.x="var1", by.y="var1", all=T) > g <- merge(g, DF3, by.x="var1", by.y="var1", all=T) > merge(g, DF4, by.x="var1", by.y="var1", all=T) > > Thanks in advance. > > -Lauri > > ______________________________________________ > R-help at 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._____________________________ Baptiste Augui? School of Physics University of Exeter Stocker Road, Exeter, Devon, EX4 4QL, UK Phone: +44 1392 264187 http://newton.ex.ac.uk/research/emag
Apparently Analagous Threads
- splitting into multiple dataframes and then create a loop to work
- merging dataframes with an unequal number of variables
- merging single column from different dataframe
- create data frame(s) from a list with different numbers of rows
- Merge two columns of a data frame