Lapply function does not work for my matrices











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The problem:



I have a list of matrices. I would like to convert all the rows, unless the last row, to zero. I tried the lapply function but it does not work as expected.



Example:



x <- matrix(3,4,4)
y <- matrix(5,4,5)
z <- list(x,y)
NewZ <- lapply(1:2, function(i) z[[i]][-nrow(z[[i]]), ] <- 0)


The lapply returns me this:



> NewZ
[[1]]
[1] 0

[[2]]
[1] 0


I would like to get matrices like this:



> z[[1]][-nrow(z[[1]]),] <- 0
> z[[1]]
[,1] [,2] [,3] [,4]
[1,] 0 0 0 0
[2,] 0 0 0 0
[3,] 0 0 0 0
[4,] 3 3 3 3
> z[[2]][-nrow(z[[2]]),] <- 0

> z[[2]]
[,1] [,2] [,3] [,4] [,5]
[1,] 0 0 0 0 0
[2,] 0 0 0 0 0
[3,] 0 0 0 0 0
[4,] 5 5 5 5 5


Where is my mistake? any idea, please?










share|improve this question


























    up vote
    0
    down vote

    favorite












    The problem:



    I have a list of matrices. I would like to convert all the rows, unless the last row, to zero. I tried the lapply function but it does not work as expected.



    Example:



    x <- matrix(3,4,4)
    y <- matrix(5,4,5)
    z <- list(x,y)
    NewZ <- lapply(1:2, function(i) z[[i]][-nrow(z[[i]]), ] <- 0)


    The lapply returns me this:



    > NewZ
    [[1]]
    [1] 0

    [[2]]
    [1] 0


    I would like to get matrices like this:



    > z[[1]][-nrow(z[[1]]),] <- 0
    > z[[1]]
    [,1] [,2] [,3] [,4]
    [1,] 0 0 0 0
    [2,] 0 0 0 0
    [3,] 0 0 0 0
    [4,] 3 3 3 3
    > z[[2]][-nrow(z[[2]]),] <- 0

    > z[[2]]
    [,1] [,2] [,3] [,4] [,5]
    [1,] 0 0 0 0 0
    [2,] 0 0 0 0 0
    [3,] 0 0 0 0 0
    [4,] 5 5 5 5 5


    Where is my mistake? any idea, please?










    share|improve this question
























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      The problem:



      I have a list of matrices. I would like to convert all the rows, unless the last row, to zero. I tried the lapply function but it does not work as expected.



      Example:



      x <- matrix(3,4,4)
      y <- matrix(5,4,5)
      z <- list(x,y)
      NewZ <- lapply(1:2, function(i) z[[i]][-nrow(z[[i]]), ] <- 0)


      The lapply returns me this:



      > NewZ
      [[1]]
      [1] 0

      [[2]]
      [1] 0


      I would like to get matrices like this:



      > z[[1]][-nrow(z[[1]]),] <- 0
      > z[[1]]
      [,1] [,2] [,3] [,4]
      [1,] 0 0 0 0
      [2,] 0 0 0 0
      [3,] 0 0 0 0
      [4,] 3 3 3 3
      > z[[2]][-nrow(z[[2]]),] <- 0

      > z[[2]]
      [,1] [,2] [,3] [,4] [,5]
      [1,] 0 0 0 0 0
      [2,] 0 0 0 0 0
      [3,] 0 0 0 0 0
      [4,] 5 5 5 5 5


      Where is my mistake? any idea, please?










      share|improve this question













      The problem:



      I have a list of matrices. I would like to convert all the rows, unless the last row, to zero. I tried the lapply function but it does not work as expected.



      Example:



      x <- matrix(3,4,4)
      y <- matrix(5,4,5)
      z <- list(x,y)
      NewZ <- lapply(1:2, function(i) z[[i]][-nrow(z[[i]]), ] <- 0)


      The lapply returns me this:



      > NewZ
      [[1]]
      [1] 0

      [[2]]
      [1] 0


      I would like to get matrices like this:



      > z[[1]][-nrow(z[[1]]),] <- 0
      > z[[1]]
      [,1] [,2] [,3] [,4]
      [1,] 0 0 0 0
      [2,] 0 0 0 0
      [3,] 0 0 0 0
      [4,] 3 3 3 3
      > z[[2]][-nrow(z[[2]]),] <- 0

      > z[[2]]
      [,1] [,2] [,3] [,4] [,5]
      [1,] 0 0 0 0 0
      [2,] 0 0 0 0 0
      [3,] 0 0 0 0 0
      [4,] 5 5 5 5 5


      Where is my mistake? any idea, please?







      r






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 14 at 7:33









      Maryam

      18211




      18211
























          1 Answer
          1






          active

          oldest

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          up vote
          1
          down vote



          accepted










          You are using lapply() like a for loop. lapply loops through the list on its own, no need to use indexing:



          NewZ <- lapply(z, function(x){
          x[-nrow(x),] <- 0
          return(x)
          })

          > NewZ
          [[1]]
          [,1] [,2] [,3] [,4]
          [1,] 0 0 0 0
          [2,] 0 0 0 0
          [3,] 0 0 0 0
          [4,] 3 3 3 3

          [[2]]
          [,1] [,2] [,3] [,4] [,5]
          [1,] 0 0 0 0 0
          [2,] 0 0 0 0 0
          [3,] 0 0 0 0 0
          [4,] 5 5 5 5 5


          Also, when you change specific parts of a list element with lapply (meaning you are using the <- operator within the call), you need to return the element.






          share|improve this answer





















          • Very helpful answer. I learn a new thing. Thank you a lot.
            – Maryam
            Nov 14 at 7:48






          • 1




            In addition to this solution, you don't even need to assign the result value of lapply to your list. You can use the <<- assignement which assisgns values globally rather than in the environment of your lapply call: x[-nrow(x),] <<- 0. The you can drop the NewZ <- lapply(... assignement.
            – FloSchmo
            Nov 14 at 7:52








          • 1




            @FloSchmo Then you will have a function with a side effect. (this is not congruent to the R scoping scheme.) library("fortunes"); fortune(174) or burns-stat.com/pages/Tutor/R_inferno.pdf Circle 6
            – jogo
            Nov 14 at 7:57













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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes








          up vote
          1
          down vote



          accepted










          You are using lapply() like a for loop. lapply loops through the list on its own, no need to use indexing:



          NewZ <- lapply(z, function(x){
          x[-nrow(x),] <- 0
          return(x)
          })

          > NewZ
          [[1]]
          [,1] [,2] [,3] [,4]
          [1,] 0 0 0 0
          [2,] 0 0 0 0
          [3,] 0 0 0 0
          [4,] 3 3 3 3

          [[2]]
          [,1] [,2] [,3] [,4] [,5]
          [1,] 0 0 0 0 0
          [2,] 0 0 0 0 0
          [3,] 0 0 0 0 0
          [4,] 5 5 5 5 5


          Also, when you change specific parts of a list element with lapply (meaning you are using the <- operator within the call), you need to return the element.






          share|improve this answer





















          • Very helpful answer. I learn a new thing. Thank you a lot.
            – Maryam
            Nov 14 at 7:48






          • 1




            In addition to this solution, you don't even need to assign the result value of lapply to your list. You can use the <<- assignement which assisgns values globally rather than in the environment of your lapply call: x[-nrow(x),] <<- 0. The you can drop the NewZ <- lapply(... assignement.
            – FloSchmo
            Nov 14 at 7:52








          • 1




            @FloSchmo Then you will have a function with a side effect. (this is not congruent to the R scoping scheme.) library("fortunes"); fortune(174) or burns-stat.com/pages/Tutor/R_inferno.pdf Circle 6
            – jogo
            Nov 14 at 7:57

















          up vote
          1
          down vote



          accepted










          You are using lapply() like a for loop. lapply loops through the list on its own, no need to use indexing:



          NewZ <- lapply(z, function(x){
          x[-nrow(x),] <- 0
          return(x)
          })

          > NewZ
          [[1]]
          [,1] [,2] [,3] [,4]
          [1,] 0 0 0 0
          [2,] 0 0 0 0
          [3,] 0 0 0 0
          [4,] 3 3 3 3

          [[2]]
          [,1] [,2] [,3] [,4] [,5]
          [1,] 0 0 0 0 0
          [2,] 0 0 0 0 0
          [3,] 0 0 0 0 0
          [4,] 5 5 5 5 5


          Also, when you change specific parts of a list element with lapply (meaning you are using the <- operator within the call), you need to return the element.






          share|improve this answer





















          • Very helpful answer. I learn a new thing. Thank you a lot.
            – Maryam
            Nov 14 at 7:48






          • 1




            In addition to this solution, you don't even need to assign the result value of lapply to your list. You can use the <<- assignement which assisgns values globally rather than in the environment of your lapply call: x[-nrow(x),] <<- 0. The you can drop the NewZ <- lapply(... assignement.
            – FloSchmo
            Nov 14 at 7:52








          • 1




            @FloSchmo Then you will have a function with a side effect. (this is not congruent to the R scoping scheme.) library("fortunes"); fortune(174) or burns-stat.com/pages/Tutor/R_inferno.pdf Circle 6
            – jogo
            Nov 14 at 7:57















          up vote
          1
          down vote



          accepted







          up vote
          1
          down vote



          accepted






          You are using lapply() like a for loop. lapply loops through the list on its own, no need to use indexing:



          NewZ <- lapply(z, function(x){
          x[-nrow(x),] <- 0
          return(x)
          })

          > NewZ
          [[1]]
          [,1] [,2] [,3] [,4]
          [1,] 0 0 0 0
          [2,] 0 0 0 0
          [3,] 0 0 0 0
          [4,] 3 3 3 3

          [[2]]
          [,1] [,2] [,3] [,4] [,5]
          [1,] 0 0 0 0 0
          [2,] 0 0 0 0 0
          [3,] 0 0 0 0 0
          [4,] 5 5 5 5 5


          Also, when you change specific parts of a list element with lapply (meaning you are using the <- operator within the call), you need to return the element.






          share|improve this answer












          You are using lapply() like a for loop. lapply loops through the list on its own, no need to use indexing:



          NewZ <- lapply(z, function(x){
          x[-nrow(x),] <- 0
          return(x)
          })

          > NewZ
          [[1]]
          [,1] [,2] [,3] [,4]
          [1,] 0 0 0 0
          [2,] 0 0 0 0
          [3,] 0 0 0 0
          [4,] 3 3 3 3

          [[2]]
          [,1] [,2] [,3] [,4] [,5]
          [1,] 0 0 0 0 0
          [2,] 0 0 0 0 0
          [3,] 0 0 0 0 0
          [4,] 5 5 5 5 5


          Also, when you change specific parts of a list element with lapply (meaning you are using the <- operator within the call), you need to return the element.







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 14 at 7:36









          LAP

          5,1122622




          5,1122622












          • Very helpful answer. I learn a new thing. Thank you a lot.
            – Maryam
            Nov 14 at 7:48






          • 1




            In addition to this solution, you don't even need to assign the result value of lapply to your list. You can use the <<- assignement which assisgns values globally rather than in the environment of your lapply call: x[-nrow(x),] <<- 0. The you can drop the NewZ <- lapply(... assignement.
            – FloSchmo
            Nov 14 at 7:52








          • 1




            @FloSchmo Then you will have a function with a side effect. (this is not congruent to the R scoping scheme.) library("fortunes"); fortune(174) or burns-stat.com/pages/Tutor/R_inferno.pdf Circle 6
            – jogo
            Nov 14 at 7:57




















          • Very helpful answer. I learn a new thing. Thank you a lot.
            – Maryam
            Nov 14 at 7:48






          • 1




            In addition to this solution, you don't even need to assign the result value of lapply to your list. You can use the <<- assignement which assisgns values globally rather than in the environment of your lapply call: x[-nrow(x),] <<- 0. The you can drop the NewZ <- lapply(... assignement.
            – FloSchmo
            Nov 14 at 7:52








          • 1




            @FloSchmo Then you will have a function with a side effect. (this is not congruent to the R scoping scheme.) library("fortunes"); fortune(174) or burns-stat.com/pages/Tutor/R_inferno.pdf Circle 6
            – jogo
            Nov 14 at 7:57


















          Very helpful answer. I learn a new thing. Thank you a lot.
          – Maryam
          Nov 14 at 7:48




          Very helpful answer. I learn a new thing. Thank you a lot.
          – Maryam
          Nov 14 at 7:48




          1




          1




          In addition to this solution, you don't even need to assign the result value of lapply to your list. You can use the <<- assignement which assisgns values globally rather than in the environment of your lapply call: x[-nrow(x),] <<- 0. The you can drop the NewZ <- lapply(... assignement.
          – FloSchmo
          Nov 14 at 7:52






          In addition to this solution, you don't even need to assign the result value of lapply to your list. You can use the <<- assignement which assisgns values globally rather than in the environment of your lapply call: x[-nrow(x),] <<- 0. The you can drop the NewZ <- lapply(... assignement.
          – FloSchmo
          Nov 14 at 7:52






          1




          1




          @FloSchmo Then you will have a function with a side effect. (this is not congruent to the R scoping scheme.) library("fortunes"); fortune(174) or burns-stat.com/pages/Tutor/R_inferno.pdf Circle 6
          – jogo
          Nov 14 at 7:57






          @FloSchmo Then you will have a function with a side effect. (this is not congruent to the R scoping scheme.) library("fortunes"); fortune(174) or burns-stat.com/pages/Tutor/R_inferno.pdf Circle 6
          – jogo
          Nov 14 at 7:57




















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