Reputation:
I have this line of code that i am using in order to create the table below.
DtTemp <- Dtable[,list("temperature"=paste(temperature,collapse=", ")),by=station.id]
table:
station.id temperature
1: S1 18, 20.5, 18, 18.6, 21.5
2: S2 20.1, 18.3, 16.8, 17.5, 16.4
3: S3 11, 19.1, 18.9, 17.8, 17.6
4: S4 18, 15.5, 15, 14.9, 15.8
In the table above, temperature
values are grouped according to station.id
.
I am looking for to create other similar tables, automatically, for every other column in my Dtable
dataset. That being said it is obvious that i have more than one station.id
values in my original dataset Dtable
.
Assuming that a for
loop might do it, or something like foreach
or iter
how should i use them to implement it.?
Is there a way to achieve this, giving at each temperature
column, as the example above, the relevant Dtable
column name, for which the table is created.?
Appreciate any help.
Upvotes: 0
Views: 45
Reputation: 2414
Yes, you have access to the .SD
variable which represents all columns other than the ones involved in grouping, so
Dtable[,lapply(.SD, paste, collapse=", "), by=station.id]
should do the trick
Upvotes: 1