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.
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