You might want to investigate the
'data.table' package.

On 07/04/2010 16:15, bo wrote:

Hi all,

I have a huge dataset(5000k observations), which contains the daily sales
for each company.
If I want to find out the a company with unique company id number, which
function I should use that is more efficient, match or "=="?  For example,

use<-dataset[!is.na(match(dataset$companyID, 12345)),]
or
use<-dataset[dataset$companyID==12345,]

Thank you very much.


--
Patrick Burns
pbu...@pburns.seanet.com
http://www.burns-stat.com
(home of 'Some hints for the R beginner'
and 'The R Inferno')

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