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Asked: 2026-05-28T07:14:58+00:00

I currently use the summaryBy command from the doBy package to group rows of

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I currently use the summaryBy command from the doBy package to group rows of a data frame by specific functions. This works fine. BUT:

The doBy package loads very slow, I think because it imports various other packages. It takes about 3 seconds until doBy is loaded. I only need the simple summaryBy feature from this package.

Is there a possibility to speed up the loading time of the package or is there a alternative implementation which does not load such a huge package?

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1 Answer

  1. Editorial Team

    For aggregating large datasets with complicated functions, it’s hard to beat the data.table package. For example, here’s how you would summarize mean and sd of Sepal.Length for the iris dataset:

    require(data.table)
dat <- data.table(iris)
dat[,list(mean=mean(Sepal.Length), sd=sd(Sepal.Length)),by=Species]

    The library loads quickly, it only takes 1 line of code (2 if you count converting your data.frame to a data.table), and it’s very fast. What more could you want?

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