Dropping columns out of loading files into a list

Question

I'm working with huge data files (several hundred MBs) and need to be as efficient as possible. I'm using a lapply function to load all files into a list, but due to the nature of the file origin there are a couple columns that I don't need.

dfs <- list.files(pattern="*.txt")
dfss <- lapply(dfs,read.table)

I normally use a drop=c("ID","num") command with read.table:

file <- read.table(drop=c("ID","num"))

But it won't work here. Any suggestions?

Answer 1

What about :

dfss <- lapply(dfs,read.table,drop=c("ID","num"))