Using Filter(Negate(is.na), x) on a list results in unexpected behaviour












2














Consider



l1 <- list("a", NA, 1:3, NA)
l2 <- list("a", NULL, 1:3, NULL)


Why does Filter(Negate(is.na), l1) not work, while Filter(Negate(is.null), l2) does work as expected (it returns all elements of l2 which are not NULL)?



The helpfile for ?Filter says




...Note that possible NA values are currently always taken as false; control over NA handling may be added in the future.




I still dont really understand the behaviour.










share|improve this question



























    2














    Consider



    l1 <- list("a", NA, 1:3, NA)
    l2 <- list("a", NULL, 1:3, NULL)


    Why does Filter(Negate(is.na), l1) not work, while Filter(Negate(is.null), l2) does work as expected (it returns all elements of l2 which are not NULL)?



    The helpfile for ?Filter says




    ...Note that possible NA values are currently always taken as false; control over NA handling may be added in the future.




    I still dont really understand the behaviour.










    share|improve this question

























      2












      2








      2







      Consider



      l1 <- list("a", NA, 1:3, NA)
      l2 <- list("a", NULL, 1:3, NULL)


      Why does Filter(Negate(is.na), l1) not work, while Filter(Negate(is.null), l2) does work as expected (it returns all elements of l2 which are not NULL)?



      The helpfile for ?Filter says




      ...Note that possible NA values are currently always taken as false; control over NA handling may be added in the future.




      I still dont really understand the behaviour.










      share|improve this question













      Consider



      l1 <- list("a", NA, 1:3, NA)
      l2 <- list("a", NULL, 1:3, NULL)


      Why does Filter(Negate(is.na), l1) not work, while Filter(Negate(is.null), l2) does work as expected (it returns all elements of l2 which are not NULL)?



      The helpfile for ?Filter says




      ...Note that possible NA values are currently always taken as false; control over NA handling may be added in the future.




      I still dont really understand the behaviour.







      r






      share|improve this question













      share|improve this question











      share|improve this question




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      asked Nov 13 '18 at 8:46









      Manuel RManuel R

      1,39211229




      1,39211229
























          1 Answer
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          is.na returns a vector for each element of the list; you want anyNA (or perhaps exactlyNA as defined below):





          l1 <- list("a", NA, 1:3, NA)
          l2 <- list("a", NULL, 1:3, NULL)
          Filter(Negate(is.na), l1)
          #> [[1]]
          #> [1] "a"
          #>
          #> [[2]]
          #> [1] 1 2 3
          #>
          #> [[3]]
          #> [1] NA
          #>
          #> [[4]]
          #> NULL
          Filter(Negate(anyNA), l1)
          #> [[1]]
          #> [1] "a"
          #>
          #> [[2]]
          #> [1] 1 2 3
          exactlyNA <- function(x) identical(x, NA)
          Filter(Negate(exactlyNA), l1)
          #> [[1]]
          #> [1] "a"
          #>
          #> [[2]]
          #> [1] 1 2 3


          Created on 2018-11-13 by the reprex package (v0.2.1)



          Your first example effectively tries to select the 1st, 3rd, 4th, and 5th elements of your list. Nothing to do with NA.






          share|improve this answer























          • Nice thank you!
            – Manuel R
            Nov 13 '18 at 9:00











          Your Answer






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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          1














          is.na returns a vector for each element of the list; you want anyNA (or perhaps exactlyNA as defined below):





          l1 <- list("a", NA, 1:3, NA)
          l2 <- list("a", NULL, 1:3, NULL)
          Filter(Negate(is.na), l1)
          #> [[1]]
          #> [1] "a"
          #>
          #> [[2]]
          #> [1] 1 2 3
          #>
          #> [[3]]
          #> [1] NA
          #>
          #> [[4]]
          #> NULL
          Filter(Negate(anyNA), l1)
          #> [[1]]
          #> [1] "a"
          #>
          #> [[2]]
          #> [1] 1 2 3
          exactlyNA <- function(x) identical(x, NA)
          Filter(Negate(exactlyNA), l1)
          #> [[1]]
          #> [1] "a"
          #>
          #> [[2]]
          #> [1] 1 2 3


          Created on 2018-11-13 by the reprex package (v0.2.1)



          Your first example effectively tries to select the 1st, 3rd, 4th, and 5th elements of your list. Nothing to do with NA.






          share|improve this answer























          • Nice thank you!
            – Manuel R
            Nov 13 '18 at 9:00
















          1














          is.na returns a vector for each element of the list; you want anyNA (or perhaps exactlyNA as defined below):





          l1 <- list("a", NA, 1:3, NA)
          l2 <- list("a", NULL, 1:3, NULL)
          Filter(Negate(is.na), l1)
          #> [[1]]
          #> [1] "a"
          #>
          #> [[2]]
          #> [1] 1 2 3
          #>
          #> [[3]]
          #> [1] NA
          #>
          #> [[4]]
          #> NULL
          Filter(Negate(anyNA), l1)
          #> [[1]]
          #> [1] "a"
          #>
          #> [[2]]
          #> [1] 1 2 3
          exactlyNA <- function(x) identical(x, NA)
          Filter(Negate(exactlyNA), l1)
          #> [[1]]
          #> [1] "a"
          #>
          #> [[2]]
          #> [1] 1 2 3


          Created on 2018-11-13 by the reprex package (v0.2.1)



          Your first example effectively tries to select the 1st, 3rd, 4th, and 5th elements of your list. Nothing to do with NA.






          share|improve this answer























          • Nice thank you!
            – Manuel R
            Nov 13 '18 at 9:00














          1












          1








          1






          is.na returns a vector for each element of the list; you want anyNA (or perhaps exactlyNA as defined below):





          l1 <- list("a", NA, 1:3, NA)
          l2 <- list("a", NULL, 1:3, NULL)
          Filter(Negate(is.na), l1)
          #> [[1]]
          #> [1] "a"
          #>
          #> [[2]]
          #> [1] 1 2 3
          #>
          #> [[3]]
          #> [1] NA
          #>
          #> [[4]]
          #> NULL
          Filter(Negate(anyNA), l1)
          #> [[1]]
          #> [1] "a"
          #>
          #> [[2]]
          #> [1] 1 2 3
          exactlyNA <- function(x) identical(x, NA)
          Filter(Negate(exactlyNA), l1)
          #> [[1]]
          #> [1] "a"
          #>
          #> [[2]]
          #> [1] 1 2 3


          Created on 2018-11-13 by the reprex package (v0.2.1)



          Your first example effectively tries to select the 1st, 3rd, 4th, and 5th elements of your list. Nothing to do with NA.






          share|improve this answer














          is.na returns a vector for each element of the list; you want anyNA (or perhaps exactlyNA as defined below):





          l1 <- list("a", NA, 1:3, NA)
          l2 <- list("a", NULL, 1:3, NULL)
          Filter(Negate(is.na), l1)
          #> [[1]]
          #> [1] "a"
          #>
          #> [[2]]
          #> [1] 1 2 3
          #>
          #> [[3]]
          #> [1] NA
          #>
          #> [[4]]
          #> NULL
          Filter(Negate(anyNA), l1)
          #> [[1]]
          #> [1] "a"
          #>
          #> [[2]]
          #> [1] 1 2 3
          exactlyNA <- function(x) identical(x, NA)
          Filter(Negate(exactlyNA), l1)
          #> [[1]]
          #> [1] "a"
          #>
          #> [[2]]
          #> [1] 1 2 3


          Created on 2018-11-13 by the reprex package (v0.2.1)



          Your first example effectively tries to select the 1st, 3rd, 4th, and 5th elements of your list. Nothing to do with NA.







          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Nov 13 '18 at 9:00

























          answered Nov 13 '18 at 8:56









          HughHugh

          7,13443569




          7,13443569












          • Nice thank you!
            – Manuel R
            Nov 13 '18 at 9:00


















          • Nice thank you!
            – Manuel R
            Nov 13 '18 at 9:00
















          Nice thank you!
          – Manuel R
          Nov 13 '18 at 9:00




          Nice thank you!
          – Manuel R
          Nov 13 '18 at 9:00


















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