r - roll join of two non-overlapping `data.table`s -

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There are two non-overlapping data.tables and include a rolling: 

  library ( P = data eligible (id = c ("a", "a"), t = c (1,4), txn = c (0, 0), key = c ("id", " T = "") TX = DataTable (id = c ("a"), t = c (3), txn = c (1111), key = c ("id", "t")) #note index t = 3 P # id T TNN # 1: A11111 # 2: A4 0   P = [Tx, TxN: = ITN.N, roll = TRUE] falls into the ditch. <<< >> << code> txn   previous  available index ( t = 1 ) when  roll> 0  I hope it will be brought in a  next  available ( t = 4 )?  
  P # Expected # id t txn # 1: a 1 0 # 2: a 4 1111    
 
 
 to ? In the form of data  roll = TRUE  and  i    S matches all, but the last  x  is in the Combination column, and its price is the last  i  In (that group is included after the last observation in  x ),  then the prevailing value in X is forwarded.    
 Here, the value from  TX  (= i) is T = 3, T = 1 and T = 4 to  P  In the middle of the difference. And so this match is  prevailing value  in  P  (= x) T = 1, and this line is the first line you can do this:  
  P [TX, J = TRUE, roll = IP] # # roll = TRUE, LOCF # [1] 1   
  P [TX, J = TRUE, roll = -inf] ## NOCB # [1] 2   
 Does this answer your question?

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