statistics - How to read large files(with rownames) with scan in this situation in R? -

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i have text file 1000 row * 40001 column table.

the first column of file string , other columns float numbers, such this:

a 2 3 4.54 .... 11.23 b 6 6 7 ....    23.45

i want read file matice read.table seems not efficient large files, think scan may right tool that?

however, scan can accept numbers input default. if want non-number input, need change what parameter. there're 40000+ columns, can't assign type of input each input..

does know how use it? thanks!

you use what argument , specify list of types (like colclasses).

lines <- "a 2 3 4.54 11.23 b 6 6 7 23.45" data <- (scan(textconnection(lines), what=c(list(null), rep(0,4)))) (data <- do.call(cbind, data)) #      [,1] [,2] [,3]  [,4] # [1,]    2    3 4.54 11.23 # [2,]    6    6 7.00 23.45

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