如何在rstudio中读取多个文件并将其合并为一个dataframe？

Question

for (i in 1:length(all_files)) {file <- read_tsv(all_files[i], col_names = FALSE) %>% bind_rows()}

This code saves only the last file from the folder to dataframe file.. Also, this files doesn't have headers, so I used col_names = FALSE, but then I also need to skip some of the columns and rename others, so how do I do that?

Answer 1

If the goal is to read in and stack/append many files into one data.frame, I recommend using a list. Read-in files one at a time, saving each data.frame as a list element (ie, the third file you read in is a data.frame stored in the third element of a list). The package data.table then has a handy function that will stack them all for you.

Some template code:

# empty list to store each file as a data.frame when read-in
file_list <- vector(model="list", length=length(all_files))

# loop over files, reading in one at a time
for(i in 1:length(all_files)) {
    file_list[[i]] <- read_tsv(all_files[i])
}

# stack all of the files using rbindlist() from package data.table
big_df <- rbindlist(file_list)

Answer 2

To anyone that stumbles with this post in Google, there's a typo in DanY's answer:

file_list <- vector( model ="list", length=length(all_files))

The correct argument is mode = "list"