Sorry for multiple emails. Correct link is here
http://stackoverflow.com/questions/1727772/quickly-reading-very-large-tables-as-dataframes-in-r


On Thu, May 1, 2014 at 6:24 PM, Mustafa Baydogan
<baydoganmustafa@gmail.com>wrote:

> 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 <sgreiner@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.
>> sgreiner@factset.com
>>
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>>
>
>


-- 
*Mustafa Gökçe Baydoğan, PhD.*
Assistant Professor
Boğaziçi University
Department of Industrial Engineering
34342, Bebek, Istanbul, Turkey
Tel:   +90-212-359 7506
Fax:  +90-212-265 1800
Email: mustafa.baydogan@boun.edu.tr
Web:  www.mustafabaydogan.com

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