adding rows to data table using for loop in R












0















I am playing with some basic R functions and am trying to create a table that includes the Remainder and Quotient for the numbers 1:20
First I created this function:



Find_Remains = function(number, divisor){
Remainder = number%%divisor
Quotient = number%/%divisor
a = c(number, divisor, Remainder, Quotient)
return(a)
}


I add a blank table



final.data.frame = data.frame(matrix(NA, nrow = 1, ncol = 4))


Then I created this for loop



for(i in c(1:20)){
b[i] = Find_Remains(i,5)
final.data.frame = rbind(b[i])
}


the error I get is:



number of items to replace is not a multiple of replacement length


any help would be appreciated. Thanks










share|improve this question



























    0















    I am playing with some basic R functions and am trying to create a table that includes the Remainder and Quotient for the numbers 1:20
    First I created this function:



    Find_Remains = function(number, divisor){
    Remainder = number%%divisor
    Quotient = number%/%divisor
    a = c(number, divisor, Remainder, Quotient)
    return(a)
    }


    I add a blank table



    final.data.frame = data.frame(matrix(NA, nrow = 1, ncol = 4))


    Then I created this for loop



    for(i in c(1:20)){
    b[i] = Find_Remains(i,5)
    final.data.frame = rbind(b[i])
    }


    the error I get is:



    number of items to replace is not a multiple of replacement length


    any help would be appreciated. Thanks










    share|improve this question

























      0












      0








      0








      I am playing with some basic R functions and am trying to create a table that includes the Remainder and Quotient for the numbers 1:20
      First I created this function:



      Find_Remains = function(number, divisor){
      Remainder = number%%divisor
      Quotient = number%/%divisor
      a = c(number, divisor, Remainder, Quotient)
      return(a)
      }


      I add a blank table



      final.data.frame = data.frame(matrix(NA, nrow = 1, ncol = 4))


      Then I created this for loop



      for(i in c(1:20)){
      b[i] = Find_Remains(i,5)
      final.data.frame = rbind(b[i])
      }


      the error I get is:



      number of items to replace is not a multiple of replacement length


      any help would be appreciated. Thanks










      share|improve this question














      I am playing with some basic R functions and am trying to create a table that includes the Remainder and Quotient for the numbers 1:20
      First I created this function:



      Find_Remains = function(number, divisor){
      Remainder = number%%divisor
      Quotient = number%/%divisor
      a = c(number, divisor, Remainder, Quotient)
      return(a)
      }


      I add a blank table



      final.data.frame = data.frame(matrix(NA, nrow = 1, ncol = 4))


      Then I created this for loop



      for(i in c(1:20)){
      b[i] = Find_Remains(i,5)
      final.data.frame = rbind(b[i])
      }


      the error I get is:



      number of items to replace is not a multiple of replacement length


      any help would be appreciated. Thanks







      r dataframe for-loop division






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 19 '18 at 22:09









      KatieMKatieM

      83




      83
























          1 Answer
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          Kudos on initializing final.data.frame (although initializing it with 20 rows would have been better I think). Having done that you don't need to use rbind, you can simply replace each row of the dataframe in every loop run. Here's what you need -



          Find_Remains = function(number, divisor) {
          Remainder = number%%divisor
          Quotient = number%/%divisor
          a = c(number, divisor, Remainder, Quotient)
          return(a)
          }

          final.data.frame = data.frame(matrix(NA, nrow = 20, ncol = 4))

          for(i in 1:20) {
          final.data.frame[i, ] = Find_Remains(i,5)
          }

          > final.data.frame
          X1 X2 X3 X4
          1 1 5 1 0
          2 2 5 2 0
          3 3 5 3 0
          4 4 5 4 0
          5 5 5 0 1
          6 6 5 1 1
          7 7 5 2 1
          8 8 5 3 1
          9 9 5 4 1
          10 10 5 0 2
          11 11 5 1 2
          12 12 5 2 2
          13 13 5 3 2
          14 14 5 4 2
          15 15 5 0 3
          16 16 5 1 3
          17 17 5 2 3
          18 18 5 3 3
          19 19 5 4 3
          20 20 5 0 4





          share|improve this answer


























          • thanks! That worked! I tried the code with final.data.frame[i] but that didn't work. the code final.data.frame[i,] allows it to be placed in a row.

            – KatieM
            Nov 19 '18 at 22:56













          • Happy to help! If this answers your question then consider marking it correct using the tick mark at top left.

            – Shree
            Nov 19 '18 at 22:57











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          1 Answer
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          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          0














          Kudos on initializing final.data.frame (although initializing it with 20 rows would have been better I think). Having done that you don't need to use rbind, you can simply replace each row of the dataframe in every loop run. Here's what you need -



          Find_Remains = function(number, divisor) {
          Remainder = number%%divisor
          Quotient = number%/%divisor
          a = c(number, divisor, Remainder, Quotient)
          return(a)
          }

          final.data.frame = data.frame(matrix(NA, nrow = 20, ncol = 4))

          for(i in 1:20) {
          final.data.frame[i, ] = Find_Remains(i,5)
          }

          > final.data.frame
          X1 X2 X3 X4
          1 1 5 1 0
          2 2 5 2 0
          3 3 5 3 0
          4 4 5 4 0
          5 5 5 0 1
          6 6 5 1 1
          7 7 5 2 1
          8 8 5 3 1
          9 9 5 4 1
          10 10 5 0 2
          11 11 5 1 2
          12 12 5 2 2
          13 13 5 3 2
          14 14 5 4 2
          15 15 5 0 3
          16 16 5 1 3
          17 17 5 2 3
          18 18 5 3 3
          19 19 5 4 3
          20 20 5 0 4





          share|improve this answer


























          • thanks! That worked! I tried the code with final.data.frame[i] but that didn't work. the code final.data.frame[i,] allows it to be placed in a row.

            – KatieM
            Nov 19 '18 at 22:56













          • Happy to help! If this answers your question then consider marking it correct using the tick mark at top left.

            – Shree
            Nov 19 '18 at 22:57
















          0














          Kudos on initializing final.data.frame (although initializing it with 20 rows would have been better I think). Having done that you don't need to use rbind, you can simply replace each row of the dataframe in every loop run. Here's what you need -



          Find_Remains = function(number, divisor) {
          Remainder = number%%divisor
          Quotient = number%/%divisor
          a = c(number, divisor, Remainder, Quotient)
          return(a)
          }

          final.data.frame = data.frame(matrix(NA, nrow = 20, ncol = 4))

          for(i in 1:20) {
          final.data.frame[i, ] = Find_Remains(i,5)
          }

          > final.data.frame
          X1 X2 X3 X4
          1 1 5 1 0
          2 2 5 2 0
          3 3 5 3 0
          4 4 5 4 0
          5 5 5 0 1
          6 6 5 1 1
          7 7 5 2 1
          8 8 5 3 1
          9 9 5 4 1
          10 10 5 0 2
          11 11 5 1 2
          12 12 5 2 2
          13 13 5 3 2
          14 14 5 4 2
          15 15 5 0 3
          16 16 5 1 3
          17 17 5 2 3
          18 18 5 3 3
          19 19 5 4 3
          20 20 5 0 4





          share|improve this answer


























          • thanks! That worked! I tried the code with final.data.frame[i] but that didn't work. the code final.data.frame[i,] allows it to be placed in a row.

            – KatieM
            Nov 19 '18 at 22:56













          • Happy to help! If this answers your question then consider marking it correct using the tick mark at top left.

            – Shree
            Nov 19 '18 at 22:57














          0












          0








          0







          Kudos on initializing final.data.frame (although initializing it with 20 rows would have been better I think). Having done that you don't need to use rbind, you can simply replace each row of the dataframe in every loop run. Here's what you need -



          Find_Remains = function(number, divisor) {
          Remainder = number%%divisor
          Quotient = number%/%divisor
          a = c(number, divisor, Remainder, Quotient)
          return(a)
          }

          final.data.frame = data.frame(matrix(NA, nrow = 20, ncol = 4))

          for(i in 1:20) {
          final.data.frame[i, ] = Find_Remains(i,5)
          }

          > final.data.frame
          X1 X2 X3 X4
          1 1 5 1 0
          2 2 5 2 0
          3 3 5 3 0
          4 4 5 4 0
          5 5 5 0 1
          6 6 5 1 1
          7 7 5 2 1
          8 8 5 3 1
          9 9 5 4 1
          10 10 5 0 2
          11 11 5 1 2
          12 12 5 2 2
          13 13 5 3 2
          14 14 5 4 2
          15 15 5 0 3
          16 16 5 1 3
          17 17 5 2 3
          18 18 5 3 3
          19 19 5 4 3
          20 20 5 0 4





          share|improve this answer















          Kudos on initializing final.data.frame (although initializing it with 20 rows would have been better I think). Having done that you don't need to use rbind, you can simply replace each row of the dataframe in every loop run. Here's what you need -



          Find_Remains = function(number, divisor) {
          Remainder = number%%divisor
          Quotient = number%/%divisor
          a = c(number, divisor, Remainder, Quotient)
          return(a)
          }

          final.data.frame = data.frame(matrix(NA, nrow = 20, ncol = 4))

          for(i in 1:20) {
          final.data.frame[i, ] = Find_Remains(i,5)
          }

          > final.data.frame
          X1 X2 X3 X4
          1 1 5 1 0
          2 2 5 2 0
          3 3 5 3 0
          4 4 5 4 0
          5 5 5 0 1
          6 6 5 1 1
          7 7 5 2 1
          8 8 5 3 1
          9 9 5 4 1
          10 10 5 0 2
          11 11 5 1 2
          12 12 5 2 2
          13 13 5 3 2
          14 14 5 4 2
          15 15 5 0 3
          16 16 5 1 3
          17 17 5 2 3
          18 18 5 3 3
          19 19 5 4 3
          20 20 5 0 4






          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Nov 19 '18 at 22:30

























          answered Nov 19 '18 at 22:23









          ShreeShree

          3,4111323




          3,4111323













          • thanks! That worked! I tried the code with final.data.frame[i] but that didn't work. the code final.data.frame[i,] allows it to be placed in a row.

            – KatieM
            Nov 19 '18 at 22:56













          • Happy to help! If this answers your question then consider marking it correct using the tick mark at top left.

            – Shree
            Nov 19 '18 at 22:57



















          • thanks! That worked! I tried the code with final.data.frame[i] but that didn't work. the code final.data.frame[i,] allows it to be placed in a row.

            – KatieM
            Nov 19 '18 at 22:56













          • Happy to help! If this answers your question then consider marking it correct using the tick mark at top left.

            – Shree
            Nov 19 '18 at 22:57

















          thanks! That worked! I tried the code with final.data.frame[i] but that didn't work. the code final.data.frame[i,] allows it to be placed in a row.

          – KatieM
          Nov 19 '18 at 22:56







          thanks! That worked! I tried the code with final.data.frame[i] but that didn't work. the code final.data.frame[i,] allows it to be placed in a row.

          – KatieM
          Nov 19 '18 at 22:56















          Happy to help! If this answers your question then consider marking it correct using the tick mark at top left.

          – Shree
          Nov 19 '18 at 22:57





          Happy to help! If this answers your question then consider marking it correct using the tick mark at top left.

          – Shree
          Nov 19 '18 at 22:57




















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