Thanks!

- Elliot

From: [email protected] [mailto:[email protected]] On Behalf Of Frank 
Erickson
Sent: Wednesday, August 16, 2017 6:24 PM
To: Bernstein, Elliot J
Cc: [email protected]
Subject: Re: [datatable-help] Data Table Subset Question

One idiom for testing group-level conditions is:

data[, if (mean(x) < 10) .SD, by=g]

This might be slower in the special case of taking a mean. See ?GForce.

There's a request for an idiom like SQL HAVING over here: 
https://github.com/Rdatatable/data.table/issues/788

--Frank

On Wed, Aug 16, 2017 at 4:44 PM, Bernstein, Elliot J 
<[email protected]<mailto:[email protected]>> wrote:
Is there a way to subset a data table by the result of a grouped aggregation 
without adding an interim column to the table? For example, if I want to select 
all rows for which the group mean value of x is less than 10, I can do the 
following:

data <- data.table(x = 1:20, g = rep(c("a", "b"), each = 10))
data[, mean.x := mean(x), by = .(g)]
data[mean.x < 10,]

But I’m not really interested in “mean.x”. Can I do the same thing without 
adding it to the table?

Thanks.

- Elliot

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