Take a look at the solution proposed here ->
http://stackoverflow.com/questions/9842794/fastest-way-to-import-millions-of-files-in-r
Basically, package 'data.table' provides a function called 'fread' which is
significantly faster than other read options. I am using it for different
tasks and I can confirm that it is fast.
Best regards,
On Thu, May 1, 2014 at 4:47 PM, Steve Greiner <sgrei...@factset.com> wrote:
> Okay, I've had it!!!.. Every time I read in a dataset using something
> like:
> returnmatrix = read.csv("S&P.csv", header=TRUE, sep=",")
>
> It comes back with "returnmatrix" as mode list. How can I quickly
> convert the dataset to mode numerical? This is pissing me off. I can do
> it manually by creating a new matrix and assigning values of the list
> matrix to the values of the numerical matrix element by element, but it's
> time consuming. What can anybody recommend me?
> Steve
>
> Steven P. Greiner, Ph.D.
> Director of Portfolio Risk
> FactSet Research Systems, Inc.
> sgrei...@factset.com
>
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