Import big CSV files at once in R - r

Question

I`ve 70 csv files with the same columns in a folder, each of them are 0.5 GB.
I want to import them into a single dataframe in R.
Normally I import each of them correctly as below:
df <- read_delim("file.csv",
"|", escape_double = FALSE, col_types = cols(pc_no = col_character(),
id_key = col_character()), trim_ws = TRUE)
To import all of them, coded like that and error as follows:
argument "delim" is missing, with no default
tbl <-
list.files(pattern = "*.csv") %>%
map_df(~read_delim("|", escape_double = FALSE, col_types = cols(pc_no = col_character(), id_key = col_character()), trim_ws = TRUE))
With read_csv, imported but appears only one column which contains all columns and values.
tbl <-
list.files(pattern = "*.csv") %>%
map_df(~read_csv(., col_types = cols(.default = "c")))

Answer 1

In your second block of code, you're missing the ., so read_delim is interpreting your arguments as read_delim(file="|", delim=<nothing provided>, ...). Try:
tbl <- list.files(pattern = "*.csv") %>%
map_df(~ read_delim(., delim = "|", escape_double = FALSE,
col_types = cols(pc_no = col_character(), id_key = col_character()),
trim_ws = TRUE))
I explicitly identified delim= here but it's not strictly necessary. Had you done that in your first attempt, however, you would have seen
readr::read_delim(delim = "|", escape_double = FALSE,
col_types = cols(pc_no = col_character(), id_key = col_character()),
trim_ws = TRUE)
# Error in read_delimited(file, tokenizer, col_names = col_names, col_types = col_types, :
# argument "file" is missing, with no default
which is more indicative of the actual problem.