There are four errors in your approach.
First, file.names <- dir(path, pattern =".csv") will extract just file names, without path. So, when you try to import then, read.csv() doesn't find.
Building the path
You can build the right path including paste0():
path = "~/path/to/csv/" file.names <- paste0(path, dir(path, pattern =".csv"))
Or file.path(), which add slashes automaticaly.
path = "~/path/to/csv" file.names <- file.path(path, dir(path, pattern =".csv"))
And another way to create the path, for me more efficient, is that suggested in the answer commented by Tung.
file.names <- list.files(path = "~/path/to/csv", recursive = TRUE, pattern = "\\.csv$", full.names = TRUE)
This is better because in addition to being all in one step, you can use within a directory containing multiple files of various formats. The code above will match all .csv files in the folder.
Importing, selecting and creating the list
The second error is in mylist <- c(). You want a list, but this creates a vector. So, the correct is:
mylist <- list()
And the last error is inside the loop. Instead of create other list when appending, use the same object created before the loop:
for(i in 1:length(file.names)){ datatmp <- read.csv(file.names[i], sep=";", stringsAsFactors=FALSE) listtmp = datatmp[, 6] mylist <- append(mylist, list(listtmp)) } mylist
Another approach, easier and cleaner, is looping with lapply(). Just this:
mylist <- lapply(file.names, function(x) { df <- read.csv(x, sep = ";", stringsAsFactors = FALSE) df[, 6] })
Hope it helps!
