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> Personally I'm in love with R's data.frame. It allows very concise, robust and elegant manipulation and subsetting of a data set. The performance is terrible
by dj_axl 14y ago
> Personally I'm in love with R's data.frame. It allows very concise, robust and elegant manipulation and subsetting of a data set.
The performance is terrible though. For data of more than ~10,000 observations SQL is much better performance wise, is more robust, and is as good at subsetting. Although it's maybe not as elegant for everyone's definition of elegant.
- oddthink 14y agoIf you haven't tried it, the data.table package is great. Mostly like a data.frame (in fact a subclass), but fast.
- minimax 14y agoWhat dataframe operations do you find to be slow? Usually I'm able to get huge performance wins by rewriting my slow R code in a loop free way (*apply and friends).