Lennie - 1 month ago 9x

R Question

I'm using the data.table package for R. As far I really enjoyed the package and it helps me saving a lot of computing time.

However I got one problem with the binary search function J() and roll="nearest".

Let's say I got this example data.table:

`Key Value1 Value2`

20 4 5

12 2 1

55 10 7

And now I perform this action on the data.table:

`data.table.subset[J(15), roll = "nearest"]`

and it returns this:

`Key Value1 Value2`

15 2 1

So it returns the correct row, but by doing that it overrides the old key-value.

My question is that a normal behaviour and can one change this auto override?

EDIT:

Reproducible Example (Note I use version 1.9.7):

`library("data.table")`

dt <- data.table(c(20,12,55), c(4,2,10), c(5,1,7))

dt

# V1 V2 V3

#1: 20 4 5

#2: 12 2 1

#3: 55 10 7

setkey(dt, V1)

dt[J(15), roll = "nearest"]

# V1 V2 V3

#1: 15 2 1

Answer

You probably need data.table in 1.9.7 to make `x.V1`

work. Then you can refer to column from `x`

dataset explicitly. This is required because columns used in join are taken from the second dataset `i`

, as it is in base R.

```
library("data.table")
dt <- data.table(c(20,12,55), c(4,2,10), c(5,1,7))
setkey(dt, V1)
dt[J(15), .(V1=x.V1, V2, V3), roll = "nearest"]
# V1 V2 V3
#1: 12 2 1
```

As you mention you already have 1.9.7, for others who doesn't have see Installation wiki.

Source (Stackoverflow)

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