Count next n rows that meets a condition in R









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Let's say I have a df that looks like this



ID X_Value
1 40
2 13
3 75
4 83
5 64
6 43
7 74
8 45
9 54
10 84


So what I would like to do, is to do a rolling function that if in the actual and last 4 rows, there are 2 or more values that are higher than X (let's say 70 for this example) then return 1, else 0.



So the output would be something like the following:



ID X_Value Next_4_2
1 40 0
2 13 0
3 75 0
4 83 1
5 64 1
6 43 1
7 24 1
8 45 0
9 74 0
10 84 1


I think this would be possible with a rolling function, but I have tried and not sure how to do it. Thank you in advance










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    up vote
    0
    down vote

    favorite












    Let's say I have a df that looks like this



    ID X_Value
    1 40
    2 13
    3 75
    4 83
    5 64
    6 43
    7 74
    8 45
    9 54
    10 84


    So what I would like to do, is to do a rolling function that if in the actual and last 4 rows, there are 2 or more values that are higher than X (let's say 70 for this example) then return 1, else 0.



    So the output would be something like the following:



    ID X_Value Next_4_2
    1 40 0
    2 13 0
    3 75 0
    4 83 1
    5 64 1
    6 43 1
    7 24 1
    8 45 0
    9 74 0
    10 84 1


    I think this would be possible with a rolling function, but I have tried and not sure how to do it. Thank you in advance










    share|improve this question























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      Let's say I have a df that looks like this



      ID X_Value
      1 40
      2 13
      3 75
      4 83
      5 64
      6 43
      7 74
      8 45
      9 54
      10 84


      So what I would like to do, is to do a rolling function that if in the actual and last 4 rows, there are 2 or more values that are higher than X (let's say 70 for this example) then return 1, else 0.



      So the output would be something like the following:



      ID X_Value Next_4_2
      1 40 0
      2 13 0
      3 75 0
      4 83 1
      5 64 1
      6 43 1
      7 24 1
      8 45 0
      9 74 0
      10 84 1


      I think this would be possible with a rolling function, but I have tried and not sure how to do it. Thank you in advance










      share|improve this question













      Let's say I have a df that looks like this



      ID X_Value
      1 40
      2 13
      3 75
      4 83
      5 64
      6 43
      7 74
      8 45
      9 54
      10 84


      So what I would like to do, is to do a rolling function that if in the actual and last 4 rows, there are 2 or more values that are higher than X (let's say 70 for this example) then return 1, else 0.



      So the output would be something like the following:



      ID X_Value Next_4_2
      1 40 0
      2 13 0
      3 75 0
      4 83 1
      5 64 1
      6 43 1
      7 24 1
      8 45 0
      9 74 0
      10 84 1


      I think this would be possible with a rolling function, but I have tried and not sure how to do it. Thank you in advance







      r rolling






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      share|improve this question










      asked Nov 10 at 0:41









      Rodrigo Zazueta Donnadieu

      267




      267






















          2 Answers
          2






          active

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          up vote
          3
          down vote



          accepted










          Given your expected output, I suppose you meant "in the actual and previous 3 rows". Then using some rolling function indeed does the job:



          library(zoo)
          thr1 <- 70
          thr2 <- 2
          last <- 3 + 1
          df$Next_4_2 <- 1 * (rollsum(df$X_Value > thr1, last, align = "right", fill = 0) >= thr2)
          df
          # ID X_Value Next_4_2
          # 1 1 40 0
          # 2 2 13 0
          # 3 3 75 0
          # 4 4 83 1
          # 5 5 64 1
          # 6 6 43 1
          # 7 7 74 1
          # 8 8 45 0
          # 9 9 54 0
          # 10 10 84 1





          share|improve this answer



























            up vote
            0
            down vote













            The indexing using max(1,i-3) is perhaps the only part of the code worth remembering. I might help in subsequent construction when a for-loop was really needed.



            dat$X_Next_4_2 <- integer( length(dat$X_Value) )
            dat$ X_Next_4_2[1]=0
            for (i in 2:length(dat$X_Value) )
            dat$ X_Next_4_2[i]=
            ( sum(dat$X_Value[i: (max(0, i-4) )] >=70) >=2 )


            (Not very pretty and clearly inferior to the rollsum answer already posted.)






            share|improve this answer




















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              2 Answers
              2






              active

              oldest

              votes








              2 Answers
              2






              active

              oldest

              votes









              active

              oldest

              votes






              active

              oldest

              votes








              up vote
              3
              down vote



              accepted










              Given your expected output, I suppose you meant "in the actual and previous 3 rows". Then using some rolling function indeed does the job:



              library(zoo)
              thr1 <- 70
              thr2 <- 2
              last <- 3 + 1
              df$Next_4_2 <- 1 * (rollsum(df$X_Value > thr1, last, align = "right", fill = 0) >= thr2)
              df
              # ID X_Value Next_4_2
              # 1 1 40 0
              # 2 2 13 0
              # 3 3 75 0
              # 4 4 83 1
              # 5 5 64 1
              # 6 6 43 1
              # 7 7 74 1
              # 8 8 45 0
              # 9 9 54 0
              # 10 10 84 1





              share|improve this answer
























                up vote
                3
                down vote



                accepted










                Given your expected output, I suppose you meant "in the actual and previous 3 rows". Then using some rolling function indeed does the job:



                library(zoo)
                thr1 <- 70
                thr2 <- 2
                last <- 3 + 1
                df$Next_4_2 <- 1 * (rollsum(df$X_Value > thr1, last, align = "right", fill = 0) >= thr2)
                df
                # ID X_Value Next_4_2
                # 1 1 40 0
                # 2 2 13 0
                # 3 3 75 0
                # 4 4 83 1
                # 5 5 64 1
                # 6 6 43 1
                # 7 7 74 1
                # 8 8 45 0
                # 9 9 54 0
                # 10 10 84 1





                share|improve this answer






















                  up vote
                  3
                  down vote



                  accepted







                  up vote
                  3
                  down vote



                  accepted






                  Given your expected output, I suppose you meant "in the actual and previous 3 rows". Then using some rolling function indeed does the job:



                  library(zoo)
                  thr1 <- 70
                  thr2 <- 2
                  last <- 3 + 1
                  df$Next_4_2 <- 1 * (rollsum(df$X_Value > thr1, last, align = "right", fill = 0) >= thr2)
                  df
                  # ID X_Value Next_4_2
                  # 1 1 40 0
                  # 2 2 13 0
                  # 3 3 75 0
                  # 4 4 83 1
                  # 5 5 64 1
                  # 6 6 43 1
                  # 7 7 74 1
                  # 8 8 45 0
                  # 9 9 54 0
                  # 10 10 84 1





                  share|improve this answer












                  Given your expected output, I suppose you meant "in the actual and previous 3 rows". Then using some rolling function indeed does the job:



                  library(zoo)
                  thr1 <- 70
                  thr2 <- 2
                  last <- 3 + 1
                  df$Next_4_2 <- 1 * (rollsum(df$X_Value > thr1, last, align = "right", fill = 0) >= thr2)
                  df
                  # ID X_Value Next_4_2
                  # 1 1 40 0
                  # 2 2 13 0
                  # 3 3 75 0
                  # 4 4 83 1
                  # 5 5 64 1
                  # 6 6 43 1
                  # 7 7 74 1
                  # 8 8 45 0
                  # 9 9 54 0
                  # 10 10 84 1






                  share|improve this answer












                  share|improve this answer



                  share|improve this answer










                  answered Nov 10 at 0:51









                  Julius Vainora

                  27.6k75878




                  27.6k75878






















                      up vote
                      0
                      down vote













                      The indexing using max(1,i-3) is perhaps the only part of the code worth remembering. I might help in subsequent construction when a for-loop was really needed.



                      dat$X_Next_4_2 <- integer( length(dat$X_Value) )
                      dat$ X_Next_4_2[1]=0
                      for (i in 2:length(dat$X_Value) )
                      dat$ X_Next_4_2[i]=
                      ( sum(dat$X_Value[i: (max(0, i-4) )] >=70) >=2 )


                      (Not very pretty and clearly inferior to the rollsum answer already posted.)






                      share|improve this answer
























                        up vote
                        0
                        down vote













                        The indexing using max(1,i-3) is perhaps the only part of the code worth remembering. I might help in subsequent construction when a for-loop was really needed.



                        dat$X_Next_4_2 <- integer( length(dat$X_Value) )
                        dat$ X_Next_4_2[1]=0
                        for (i in 2:length(dat$X_Value) )
                        dat$ X_Next_4_2[i]=
                        ( sum(dat$X_Value[i: (max(0, i-4) )] >=70) >=2 )


                        (Not very pretty and clearly inferior to the rollsum answer already posted.)






                        share|improve this answer






















                          up vote
                          0
                          down vote










                          up vote
                          0
                          down vote









                          The indexing using max(1,i-3) is perhaps the only part of the code worth remembering. I might help in subsequent construction when a for-loop was really needed.



                          dat$X_Next_4_2 <- integer( length(dat$X_Value) )
                          dat$ X_Next_4_2[1]=0
                          for (i in 2:length(dat$X_Value) )
                          dat$ X_Next_4_2[i]=
                          ( sum(dat$X_Value[i: (max(0, i-4) )] >=70) >=2 )


                          (Not very pretty and clearly inferior to the rollsum answer already posted.)






                          share|improve this answer












                          The indexing using max(1,i-3) is perhaps the only part of the code worth remembering. I might help in subsequent construction when a for-loop was really needed.



                          dat$X_Next_4_2 <- integer( length(dat$X_Value) )
                          dat$ X_Next_4_2[1]=0
                          for (i in 2:length(dat$X_Value) )
                          dat$ X_Next_4_2[i]=
                          ( sum(dat$X_Value[i: (max(0, i-4) )] >=70) >=2 )


                          (Not very pretty and clearly inferior to the rollsum answer already posted.)







                          share|improve this answer












                          share|improve this answer



                          share|improve this answer










                          answered Nov 10 at 1:05









                          42-

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