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 <baydoganmust...@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 <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 >> >> _______________________________________________ >> R-SIG-Finance@r-project.org mailing list >> https://stat.ethz.ch/mailman/listinfo/r-sig-finance >> -- Subscriber-posting only. If you want to post, subscribe first. >> -- Also note that this is not the r-help list where general R questions >> should go. >> > > -- *Mustafa Gökçe BaydoÄan, PhD.* Assistant Professor BoÄaziçi University Department of Industrial Engineering 34342, Bebek, Istanbul, Turkey Tel: +90-212-359 7506 Fax: +90-212-265 1800 Email: mustafa.baydo...@boun.edu.tr Web: www.mustafabaydogan.com [[alternative HTML version deleted]]
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