screechOwl screechOwl - 1 month ago 11
R Question

How to group data.table by multiple columns?

I'm using the

data.table
package to speed up some summary statistic collection on a data set.

I'm curious if there's a way to group by more than one column. My data looks like this:

purchaseAmt adShown url
15.54 00001 150000001
4.82 00002 150000001
157.99 05005 776300044
... ... ...


I can do something like this:

adShownMedian <- df1[,median(purchaseAmt),by="adShown"]


to get each ad's median. How would I do something that combines
adShown
and
url
?

I've tried this:

adShownMedian <- df1[,median(purchaseAmt),by=c("adShown","url")]


but no luck.

Any suggestions?

Answer

Use by=list(adShown,url) instead of by=c("adShown","url")

Example:

set.seed(007) 
DF <- data.frame(X=1:20, Y=sample(c(0,1), 20, TRUE), Z=sample(0:5, 20, TRUE))

library(data.table)
DT <- data.table(DF)
DT[, Mean:=mean(X), by=list(Y, Z)]


     X Y Z      Mean
 1:  1 1 3  1.000000
 2:  2 0 1  9.333333
 3:  3 0 5  7.400000
 4:  4 0 5  7.400000
 5:  5 0 5  7.400000
 6:  6 1 0  6.000000
 7:  7 0 3  7.000000
 8:  8 1 2 12.500000
 9:  9 0 5  7.400000
10: 10 0 2 15.000000
11: 11 0 4 14.500000
12: 12 0 1  9.333333
13: 13 1 1 13.000000
14: 14 0 1  9.333333
15: 15 0 2 15.000000
16: 16 0 5  7.400000
17: 17 1 2 12.500000
18: 18 0 4 14.500000
19: 19 1 5 19.000000
20: 20 0 2 15.000000
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