Data.txt:
Index;Time; 1;2345; 2;1423; 3;5123;
The code:
dat <- read.table(\'data.txt\', skip = 1, nrows = 2, header =TRU
Instead of read.table(), use a readr function such as read_csv(), piped to dplyr::slice().
read.table()
readr
read_csv()
dplyr::slice()
library(readr) library(dplyr) dat <- read_csv("data.txt") %>% slice(-1)
It's very fast too.