I have a folder of about 100 csv files and I want to read them into one dataframe in R. I kind of know how to do this but I have to skip the first two columns in every csv file and that is the part I am stuck on. My code so far is:
myfiles <- list.files(pattern = ".csv") # create a list of all csv files in the directory
data_csv <- ldply(myfiles, read.csv)
Thank you for any help
Using the data.table package functions fread() and rbindlist() will provide the result you're after faster than any of the other base or tidyverse alternatives.
library(data.table)
## Create a list of the files
FileList <- list.files(pattern = ".csv")
## Pre-allocate a list to store all of the results of reading
## so that we aren't re-copying the list for each iteration
DTList <- vector(mode = "list", length = length(FileList))
## Read in all the files, excluding the first two columns
for(i %in% seq_along(DTList)) {
DTList[[i]] <- data.table::fread(FileList[[i]], drop = c(1,2))
}
## Combine the results into a single data.table
DT <- data.table::rbindlist(DTList)
## Optionally, convert the data.table to a data.frame to match requested result
## Though I would recommend looking into using data.table instead!
data.table::setDF(DT)
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