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I am doing a relatively simple piece of analysis that I have put into a function on all the files in a particular folder. I was wondering whether anyone had any tips to help me automate the process on a number of different folders. Firstly, I was wondering whether there was a way of reading all the files in a particular folder straight into R. I believe the following command will list all the files: files <- (Sys.glob("*.csv")) ...which I found from Using R to list all files with a specified extension And then the following code reads all those files into R. listOfFiles <- lapply(files, function(x) read.table(x, header = FALSE)) …from Manipulating multiple files in R But the files seem to be read in as one continuous list and not individual files… how can I change the script to open all the csv files in a particular folder as individual dataframes? Secondly, assuming that I can read all the files in separately, how do I complete a function on all these dataframes in one go. For example, I have created four small dataframes so I can illustrate what I want: Df.1 <- data.frame(A = c(5,4,7,6,8,4),B = (c(1,5,2,4,9,1))) Df.2 <- data.frame(A = c(1:6),B = (c(2,3,4,5,1,1))) Df.3 <- data.frame(A = c(4,6,8,0,1,11),B = (c(7,6,5,9,1,15))) Df.4 <- data.frame(A = c(4,2,6,8,1,0),B = (c(3,1,9,11,2,16))) I have also made up an example function: Summary<-function(dfile){ SumA<-sum(dfile$A) MinA<-min(dfile$A) MeanA<-mean(dfile$A) MedianA<-median(dfile$A) MaxA<-max(dfile$A) sumB<-sum(dfile$B) MinB<-min(dfile$B) MeanB<-mean(dfile$B) MedianB<-median

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