Trying to use .SD inside by in data.table












2















I'm trying to use the .SD to groupby inside a data.table to apply a function to a specific column. I'm gonna use iris dataset as an example.



Lets say I want to know how many unique Sepal.Length there is by species.



library(data.table)
obj="Species"
as.data.table(iris)[,length(unique(Sepal.Length)),by=.SD,.SDcols=obj]


It is important that I can supply .SDcols as an object, since I'm doing it programmatically. I also would like to know if it is possible using data.table instead of aggregate and/or xtabs solution.



Appreciate any help.










share|improve this question



























    2















    I'm trying to use the .SD to groupby inside a data.table to apply a function to a specific column. I'm gonna use iris dataset as an example.



    Lets say I want to know how many unique Sepal.Length there is by species.



    library(data.table)
    obj="Species"
    as.data.table(iris)[,length(unique(Sepal.Length)),by=.SD,.SDcols=obj]


    It is important that I can supply .SDcols as an object, since I'm doing it programmatically. I also would like to know if it is possible using data.table instead of aggregate and/or xtabs solution.



    Appreciate any help.










    share|improve this question

























      2












      2








      2








      I'm trying to use the .SD to groupby inside a data.table to apply a function to a specific column. I'm gonna use iris dataset as an example.



      Lets say I want to know how many unique Sepal.Length there is by species.



      library(data.table)
      obj="Species"
      as.data.table(iris)[,length(unique(Sepal.Length)),by=.SD,.SDcols=obj]


      It is important that I can supply .SDcols as an object, since I'm doing it programmatically. I also would like to know if it is possible using data.table instead of aggregate and/or xtabs solution.



      Appreciate any help.










      share|improve this question














      I'm trying to use the .SD to groupby inside a data.table to apply a function to a specific column. I'm gonna use iris dataset as an example.



      Lets say I want to know how many unique Sepal.Length there is by species.



      library(data.table)
      obj="Species"
      as.data.table(iris)[,length(unique(Sepal.Length)),by=.SD,.SDcols=obj]


      It is important that I can supply .SDcols as an object, since I'm doing it programmatically. I also would like to know if it is possible using data.table instead of aggregate and/or xtabs solution.



      Appreciate any help.







      r data.table






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Jan 1 at 23:32









      Ricardo Fernandes CamposRicardo Fernandes Campos

      654415




      654415
























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          We could directly pass the 'obj' in by and get the length of unique elements of 'Sepal.Length' (uniqueN)



          as.data.table(iris)[, .(uniqueLen = uniqueN(Sepal.Length)), by = obj]




          If we wanted to go by the .SDcols route



          as.data.table(iris)[, .SD[, .(uniqueLen = uniqueN(.SD[[1]])), by = obj], 
          .SDcols = c(obj, "Sepal.Length")]





          share|improve this answer

























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            1 Answer
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            active

            oldest

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            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            4














            We could directly pass the 'obj' in by and get the length of unique elements of 'Sepal.Length' (uniqueN)



            as.data.table(iris)[, .(uniqueLen = uniqueN(Sepal.Length)), by = obj]




            If we wanted to go by the .SDcols route



            as.data.table(iris)[, .SD[, .(uniqueLen = uniqueN(.SD[[1]])), by = obj], 
            .SDcols = c(obj, "Sepal.Length")]





            share|improve this answer






























              4














              We could directly pass the 'obj' in by and get the length of unique elements of 'Sepal.Length' (uniqueN)



              as.data.table(iris)[, .(uniqueLen = uniqueN(Sepal.Length)), by = obj]




              If we wanted to go by the .SDcols route



              as.data.table(iris)[, .SD[, .(uniqueLen = uniqueN(.SD[[1]])), by = obj], 
              .SDcols = c(obj, "Sepal.Length")]





              share|improve this answer




























                4












                4








                4







                We could directly pass the 'obj' in by and get the length of unique elements of 'Sepal.Length' (uniqueN)



                as.data.table(iris)[, .(uniqueLen = uniqueN(Sepal.Length)), by = obj]




                If we wanted to go by the .SDcols route



                as.data.table(iris)[, .SD[, .(uniqueLen = uniqueN(.SD[[1]])), by = obj], 
                .SDcols = c(obj, "Sepal.Length")]





                share|improve this answer















                We could directly pass the 'obj' in by and get the length of unique elements of 'Sepal.Length' (uniqueN)



                as.data.table(iris)[, .(uniqueLen = uniqueN(Sepal.Length)), by = obj]




                If we wanted to go by the .SDcols route



                as.data.table(iris)[, .SD[, .(uniqueLen = uniqueN(.SD[[1]])), by = obj], 
                .SDcols = c(obj, "Sepal.Length")]






                share|improve this answer














                share|improve this answer



                share|improve this answer








                edited Jan 1 at 23:54

























                answered Jan 1 at 23:35









                akrunakrun

                411k13199274




                411k13199274
































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