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Editorial Team
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Asked: 2026-06-05T08:06:14+00:00

I’m asking this as a general/beginner question about R , not specific to the

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I’m asking this as a general/beginner question about R, not specific to the package I was using.

I have a dataframe with 3 million rows and 15 columns. I don’t consider this a huge dataframe, but maybe I’m wrong.

I was running the following script and it’s been running for 2+ hours – I imagine there must be something I can do to speed this up.

Code:

ddply(orders, .(ClientID), NumOrders=len(OrderID))

This is not an overly intensive script, or again, I don’t think it is.

In a database, you could add an index to a table to increase join speed. Is there a similar action in R I should be doing on import to make functions/packages run faster?

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1 Answer

  1. Editorial Team

    With the suggested data.table package, the following operation should do the job within a second:

    orders[,list(NumOrders=length(OrderID)),by=ClientID]
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