How do I execute a rolling join when one table has groups, and the other does
not? For example:
x.dt <- as.data.table(
expand.grid(date = seq(as.Date("2017-01-01"), as.Date("2017-12-31"), "days"),
group = c("A", "B")
)
)
x.dt[, x := rnorm(.N)]
setkey(x.dt, group, date)
y.dt <- data.table(date = seq(as.Date("2017-01-01"), as.Date("2017-12-31"),
"months"))
y.dt[, y := month(date)]
setkey(y.dt, date)
result <- y.dt[x.dt, roll = TRUE]
The last line fails because "group" is part of the key in x.dt, but not y.dt:
Error in bmerge(i, x, leftcols, rightcols, io, xo, roll, rollends, nomatch, :
typeof x.date (double) != typeof i.group (integer)
I would like the value of y in each row of the result to be the month number
(from y.dt), regardless of the value of the group column.
Thanks.
- Elliot
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