How To Use Conditional Statements in R?










0















sortinoIndex is a vector that contain NA and numeric numbers I want create a loop to extract only the numeric numbers and save them into sortino1
how can I do? I did this but does not work can you help me?



 sortino1<-numeric()
for (i in 1:252)
if(sortinoIndex[i]!=NA)
sortino1[i]<-sortinoIndex[i]











share|improve this question






















  • Your loop doesn't do what you want it to do. Have you tried running it?

    – Hong Ooi
    Nov 12 '18 at 19:32











  • Nothing ever "equals" (or for that matter "not equals") an NA. Learn to use is.na

    – 42-
    Nov 12 '18 at 19:56















0















sortinoIndex is a vector that contain NA and numeric numbers I want create a loop to extract only the numeric numbers and save them into sortino1
how can I do? I did this but does not work can you help me?



 sortino1<-numeric()
for (i in 1:252)
if(sortinoIndex[i]!=NA)
sortino1[i]<-sortinoIndex[i]











share|improve this question






















  • Your loop doesn't do what you want it to do. Have you tried running it?

    – Hong Ooi
    Nov 12 '18 at 19:32











  • Nothing ever "equals" (or for that matter "not equals") an NA. Learn to use is.na

    – 42-
    Nov 12 '18 at 19:56













0












0








0








sortinoIndex is a vector that contain NA and numeric numbers I want create a loop to extract only the numeric numbers and save them into sortino1
how can I do? I did this but does not work can you help me?



 sortino1<-numeric()
for (i in 1:252)
if(sortinoIndex[i]!=NA)
sortino1[i]<-sortinoIndex[i]











share|improve this question














sortinoIndex is a vector that contain NA and numeric numbers I want create a loop to extract only the numeric numbers and save them into sortino1
how can I do? I did this but does not work can you help me?



 sortino1<-numeric()
for (i in 1:252)
if(sortinoIndex[i]!=NA)
sortino1[i]<-sortinoIndex[i]








r if-statement






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asked Nov 12 '18 at 19:22









Tommaso DellolmoTommaso Dellolmo

75




75












  • Your loop doesn't do what you want it to do. Have you tried running it?

    – Hong Ooi
    Nov 12 '18 at 19:32











  • Nothing ever "equals" (or for that matter "not equals") an NA. Learn to use is.na

    – 42-
    Nov 12 '18 at 19:56

















  • Your loop doesn't do what you want it to do. Have you tried running it?

    – Hong Ooi
    Nov 12 '18 at 19:32











  • Nothing ever "equals" (or for that matter "not equals") an NA. Learn to use is.na

    – 42-
    Nov 12 '18 at 19:56
















Your loop doesn't do what you want it to do. Have you tried running it?

– Hong Ooi
Nov 12 '18 at 19:32





Your loop doesn't do what you want it to do. Have you tried running it?

– Hong Ooi
Nov 12 '18 at 19:32













Nothing ever "equals" (or for that matter "not equals") an NA. Learn to use is.na

– 42-
Nov 12 '18 at 19:56





Nothing ever "equals" (or for that matter "not equals") an NA. Learn to use is.na

– 42-
Nov 12 '18 at 19:56












2 Answers
2






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oldest

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0














In R, we typically won't use a for loop to do something like this, because it is very slow compared to implementing the same loop in C++.



Instead, we'll use a vectorized operation:



Create some data:



set.seed(10)
sortinoIndex <- sample(c(NA,1:10),25, replace = TRUE)


Remove NA values:



sortino1 <- sortinoIndex[!is.na(sortinoIndex)]
print(sortino1)

[1] 5 3 4 7 2 3 2 6 4 7 6 1 6 3 4 2 4 9 9 6 8 3 4





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    0














    We can use complete.cases



    sortinoIndex[complete.cases(sortinoIndex)]





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      2 Answers
      2






      active

      oldest

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      2 Answers
      2






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

      votes









      0














      In R, we typically won't use a for loop to do something like this, because it is very slow compared to implementing the same loop in C++.



      Instead, we'll use a vectorized operation:



      Create some data:



      set.seed(10)
      sortinoIndex <- sample(c(NA,1:10),25, replace = TRUE)


      Remove NA values:



      sortino1 <- sortinoIndex[!is.na(sortinoIndex)]
      print(sortino1)

      [1] 5 3 4 7 2 3 2 6 4 7 6 1 6 3 4 2 4 9 9 6 8 3 4





      share|improve this answer



























        0














        In R, we typically won't use a for loop to do something like this, because it is very slow compared to implementing the same loop in C++.



        Instead, we'll use a vectorized operation:



        Create some data:



        set.seed(10)
        sortinoIndex <- sample(c(NA,1:10),25, replace = TRUE)


        Remove NA values:



        sortino1 <- sortinoIndex[!is.na(sortinoIndex)]
        print(sortino1)

        [1] 5 3 4 7 2 3 2 6 4 7 6 1 6 3 4 2 4 9 9 6 8 3 4





        share|improve this answer

























          0












          0








          0







          In R, we typically won't use a for loop to do something like this, because it is very slow compared to implementing the same loop in C++.



          Instead, we'll use a vectorized operation:



          Create some data:



          set.seed(10)
          sortinoIndex <- sample(c(NA,1:10),25, replace = TRUE)


          Remove NA values:



          sortino1 <- sortinoIndex[!is.na(sortinoIndex)]
          print(sortino1)

          [1] 5 3 4 7 2 3 2 6 4 7 6 1 6 3 4 2 4 9 9 6 8 3 4





          share|improve this answer













          In R, we typically won't use a for loop to do something like this, because it is very slow compared to implementing the same loop in C++.



          Instead, we'll use a vectorized operation:



          Create some data:



          set.seed(10)
          sortinoIndex <- sample(c(NA,1:10),25, replace = TRUE)


          Remove NA values:



          sortino1 <- sortinoIndex[!is.na(sortinoIndex)]
          print(sortino1)

          [1] 5 3 4 7 2 3 2 6 4 7 6 1 6 3 4 2 4 9 9 6 8 3 4






          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 12 '18 at 19:27









          Mako212Mako212

          4,2971827




          4,2971827























              0














              We can use complete.cases



              sortinoIndex[complete.cases(sortinoIndex)]





              share|improve this answer



























                0














                We can use complete.cases



                sortinoIndex[complete.cases(sortinoIndex)]





                share|improve this answer

























                  0












                  0








                  0







                  We can use complete.cases



                  sortinoIndex[complete.cases(sortinoIndex)]





                  share|improve this answer













                  We can use complete.cases



                  sortinoIndex[complete.cases(sortinoIndex)]






                  share|improve this answer












                  share|improve this answer



                  share|improve this answer










                  answered Nov 12 '18 at 19:28









                  akrunakrun

                  412k13200276




                  412k13200276



























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