How to select certain elements from a list?












1















If I have list like this:



 list_data <- list(c("Red", "Green","red"), 
c(21,32,11,2,3,6,5,4),
c(1,2,5,4,TRUE, 51.23, 119.1))


I want to keep the last 2 elements before the last one from the list:
desired output:



  > list_data
[[1]]
[1] "Red" "Green"

[[2]]
[1] 6 5

[[3]]
[1] 1.00 51.23


Any idea on this?










share|improve this question





























    1















    If I have list like this:



     list_data <- list(c("Red", "Green","red"), 
    c(21,32,11,2,3,6,5,4),
    c(1,2,5,4,TRUE, 51.23, 119.1))


    I want to keep the last 2 elements before the last one from the list:
    desired output:



      > list_data
    [[1]]
    [1] "Red" "Green"

    [[2]]
    [1] 6 5

    [[3]]
    [1] 1.00 51.23


    Any idea on this?










    share|improve this question



























      1












      1








      1


      1






      If I have list like this:



       list_data <- list(c("Red", "Green","red"), 
      c(21,32,11,2,3,6,5,4),
      c(1,2,5,4,TRUE, 51.23, 119.1))


      I want to keep the last 2 elements before the last one from the list:
      desired output:



        > list_data
      [[1]]
      [1] "Red" "Green"

      [[2]]
      [1] 6 5

      [[3]]
      [1] 1.00 51.23


      Any idea on this?










      share|improve this question
















      If I have list like this:



       list_data <- list(c("Red", "Green","red"), 
      c(21,32,11,2,3,6,5,4),
      c(1,2,5,4,TRUE, 51.23, 119.1))


      I want to keep the last 2 elements before the last one from the list:
      desired output:



        > list_data
      [[1]]
      [1] "Red" "Green"

      [[2]]
      [1] 6 5

      [[3]]
      [1] 1.00 51.23


      Any idea on this?







      r






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 20 '18 at 10:35









      Sotos

      29k51640




      29k51640










      asked Nov 20 '18 at 10:24









      bic tonbic ton

      343129




      343129
























          3 Answers
          3






          active

          oldest

          votes


















          2














          Another option using tail, i.e.



          lapply(list_data, function(i)tail(i, 3)[-3])
          #[[1]]
          #[1] "Red" "Green"

          #[[2]]
          #[1] 6 5

          #[[3]]
          #[1] 1.00 51.23





          share|improve this answer































            2














            You could do



            lapply(list_data, function(x) x[(length(x) - 2:1)])
            #[[1]]
            #[1] "Red" "Green"

            #[[2]]
            #[1] 6 5

            #[[3]]
            #[1] 1.00 51.23





            share|improve this answer































              1














              Solution with Map (thanks to @Sotos for tail):



              Map(function(x)tail(x, 3)[-3],list_data) 
              # [[1]]
              # [1] "Red" "Green"
              #
              # [[2]]
              # [1] 6 5
              #
              # [[3]]
              # [1] 1.00 51.23


              If you name each element, you could get a data.frame by using purrr:



              names(list_data) <- letters[1:3]
              purrr::map_df(list_data, function(x) x[length(x)-2:1]) # ~ .x[length(.x)-(2:1)]

              # # A tibble: 2 x 3
              # a b c
              # <chr> <dbl> <dbl>
              # 1 Red 6 1
              # 2 Green 5 51.2





              share|improve this answer























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                3 Answers
                3






                active

                oldest

                votes








                3 Answers
                3






                active

                oldest

                votes









                active

                oldest

                votes






                active

                oldest

                votes









                2














                Another option using tail, i.e.



                lapply(list_data, function(i)tail(i, 3)[-3])
                #[[1]]
                #[1] "Red" "Green"

                #[[2]]
                #[1] 6 5

                #[[3]]
                #[1] 1.00 51.23





                share|improve this answer




























                  2














                  Another option using tail, i.e.



                  lapply(list_data, function(i)tail(i, 3)[-3])
                  #[[1]]
                  #[1] "Red" "Green"

                  #[[2]]
                  #[1] 6 5

                  #[[3]]
                  #[1] 1.00 51.23





                  share|improve this answer


























                    2












                    2








                    2







                    Another option using tail, i.e.



                    lapply(list_data, function(i)tail(i, 3)[-3])
                    #[[1]]
                    #[1] "Red" "Green"

                    #[[2]]
                    #[1] 6 5

                    #[[3]]
                    #[1] 1.00 51.23





                    share|improve this answer













                    Another option using tail, i.e.



                    lapply(list_data, function(i)tail(i, 3)[-3])
                    #[[1]]
                    #[1] "Red" "Green"

                    #[[2]]
                    #[1] 6 5

                    #[[3]]
                    #[1] 1.00 51.23






                    share|improve this answer












                    share|improve this answer



                    share|improve this answer










                    answered Nov 20 '18 at 10:34









                    SotosSotos

                    29k51640




                    29k51640

























                        2














                        You could do



                        lapply(list_data, function(x) x[(length(x) - 2:1)])
                        #[[1]]
                        #[1] "Red" "Green"

                        #[[2]]
                        #[1] 6 5

                        #[[3]]
                        #[1] 1.00 51.23





                        share|improve this answer




























                          2














                          You could do



                          lapply(list_data, function(x) x[(length(x) - 2:1)])
                          #[[1]]
                          #[1] "Red" "Green"

                          #[[2]]
                          #[1] 6 5

                          #[[3]]
                          #[1] 1.00 51.23





                          share|improve this answer


























                            2












                            2








                            2







                            You could do



                            lapply(list_data, function(x) x[(length(x) - 2:1)])
                            #[[1]]
                            #[1] "Red" "Green"

                            #[[2]]
                            #[1] 6 5

                            #[[3]]
                            #[1] 1.00 51.23





                            share|improve this answer













                            You could do



                            lapply(list_data, function(x) x[(length(x) - 2:1)])
                            #[[1]]
                            #[1] "Red" "Green"

                            #[[2]]
                            #[1] 6 5

                            #[[3]]
                            #[1] 1.00 51.23






                            share|improve this answer












                            share|improve this answer



                            share|improve this answer










                            answered Nov 20 '18 at 10:29









                            markusmarkus

                            11.1k1031




                            11.1k1031























                                1














                                Solution with Map (thanks to @Sotos for tail):



                                Map(function(x)tail(x, 3)[-3],list_data) 
                                # [[1]]
                                # [1] "Red" "Green"
                                #
                                # [[2]]
                                # [1] 6 5
                                #
                                # [[3]]
                                # [1] 1.00 51.23


                                If you name each element, you could get a data.frame by using purrr:



                                names(list_data) <- letters[1:3]
                                purrr::map_df(list_data, function(x) x[length(x)-2:1]) # ~ .x[length(.x)-(2:1)]

                                # # A tibble: 2 x 3
                                # a b c
                                # <chr> <dbl> <dbl>
                                # 1 Red 6 1
                                # 2 Green 5 51.2





                                share|improve this answer




























                                  1














                                  Solution with Map (thanks to @Sotos for tail):



                                  Map(function(x)tail(x, 3)[-3],list_data) 
                                  # [[1]]
                                  # [1] "Red" "Green"
                                  #
                                  # [[2]]
                                  # [1] 6 5
                                  #
                                  # [[3]]
                                  # [1] 1.00 51.23


                                  If you name each element, you could get a data.frame by using purrr:



                                  names(list_data) <- letters[1:3]
                                  purrr::map_df(list_data, function(x) x[length(x)-2:1]) # ~ .x[length(.x)-(2:1)]

                                  # # A tibble: 2 x 3
                                  # a b c
                                  # <chr> <dbl> <dbl>
                                  # 1 Red 6 1
                                  # 2 Green 5 51.2





                                  share|improve this answer


























                                    1












                                    1








                                    1







                                    Solution with Map (thanks to @Sotos for tail):



                                    Map(function(x)tail(x, 3)[-3],list_data) 
                                    # [[1]]
                                    # [1] "Red" "Green"
                                    #
                                    # [[2]]
                                    # [1] 6 5
                                    #
                                    # [[3]]
                                    # [1] 1.00 51.23


                                    If you name each element, you could get a data.frame by using purrr:



                                    names(list_data) <- letters[1:3]
                                    purrr::map_df(list_data, function(x) x[length(x)-2:1]) # ~ .x[length(.x)-(2:1)]

                                    # # A tibble: 2 x 3
                                    # a b c
                                    # <chr> <dbl> <dbl>
                                    # 1 Red 6 1
                                    # 2 Green 5 51.2





                                    share|improve this answer













                                    Solution with Map (thanks to @Sotos for tail):



                                    Map(function(x)tail(x, 3)[-3],list_data) 
                                    # [[1]]
                                    # [1] "Red" "Green"
                                    #
                                    # [[2]]
                                    # [1] 6 5
                                    #
                                    # [[3]]
                                    # [1] 1.00 51.23


                                    If you name each element, you could get a data.frame by using purrr:



                                    names(list_data) <- letters[1:3]
                                    purrr::map_df(list_data, function(x) x[length(x)-2:1]) # ~ .x[length(.x)-(2:1)]

                                    # # A tibble: 2 x 3
                                    # a b c
                                    # <chr> <dbl> <dbl>
                                    # 1 Red 6 1
                                    # 2 Green 5 51.2






                                    share|improve this answer












                                    share|improve this answer



                                    share|improve this answer










                                    answered Nov 20 '18 at 10:37









                                    RLaveRLave

                                    3,9951922




                                    3,9951922






























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