In total I have 21 csv files which I would like to load to R. So I did:
list_of_data = list.files(pattern="*.csv")
tbl_met = lapply(list_of_data, read.csv)
Can't give you the dput because it's too much data...
What I want to do is to get a list off all names in first column in all datasets. Combined to one vector/list but there are 2 problems:
first of all the columns in those files are separated by ";" or without any separation mark... Do I have to look inside those files and make them all separated in the same way ?
second problem is that there might be duplicates of names and I'd like to remove them from the list.
Do you have any idea how to do that ? Should I provide you some more data ? If yes, let me know how to do that.
This solves my problem:
list_of_data = list.files(pattern="*.csv")
tbl_met = lapply(list_of_data, read.csv)
tbl <- data.table::rbindlist(tbl_met) ## binding all of the tables in the list by row
vec_names <- tbl$locus ## name of the column with names which I am interested in
vec <- unique(vec_names) ## removing the duplicates