Reputation: 31181
Suppose I have the following data.table
:
date=c("2014-02-06","2014-02-06","2014-03-01","2014-03-01","2014-03-28","2014-04-25","2014-04-25")
departure=c("NY", "NY", "Doha", "Tokyo", "Paris", "Tokyo", "Tokyo")
arrival=c("Milano", "Beijing", "Moscow", "Moscow", "Singapore", "Yaounde", "Milano")
DT<-data.table(date, departure, arrival)
giving this result:
date departure arrival
1: 2014-02-06 NY Milano
2: 2014-02-06 NY Beijing
3: 2014-03-01 Doha Moscow
4: 2014-03-01 Tokyo Moscow
5: 2014-03-28 Paris Singapore
6: 2014-04-25 Tokyo Yaounde
7: 2014-04-25 Tokyo Milano
Now I have this date:
lawDate="2014-03-17"
And I want to add a column named "law" in DT such as if date>lawDate
it contains TRUE, FALSE otherwise.
I am doing this for the moment but I do not know if it is the most efficient way ... since my table DT could be extremely big ...
My current solution ... but I do not know if there is a better way for data.table to do this ..
DT$law = ifelse(date>lawDate, TRUE, FALSE)
Upvotes: 6
Views: 4346
Reputation: 353
DT[, law:=FALSE][date>lawDate, law:=TRUE]
or even shorter
DT[, law:=date>lawDate]
kind greetings
Upvotes: 8