Read and rbind multiple csv files

Question

I have a series of csv files (one per anum) with the same column headers and different number of rows. Originally I was reading them in and merging them like so;

Answer 1

If you're looking for speed, then try this:

require(data.table) ## 1.9.2 or 1.9.3
ans = rbindlist(lapply(filenames, fread))

Answer 2

Find files (list.files) and read the files in a loop (lapply), then call (do.call) row bind (rbind) to put all files together by rows.

myMergedData <- 
  do.call(rbind,
          lapply(list.files(path = "N:/Ring data by cruise"), read.csv))

Update: There is a vroom package, according to the manuals it is much faster than data.table::fread and base read.csv. The syntax looks neat, too:

library(vroom)
myMergedData <- vroom(files)

Answer 3

Don't have enough rep to comment, but to answer Rafael Santos, you can use the code here to add params to the lapply in the answer above. Using lapply and read.csv on multiple files (in R)