Lapply function does not work for my matrices
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0
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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?
r
add a comment |
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?
r
add a comment |
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?
r
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
r
asked Nov 14 at 7:33
Maryam
18211
18211
add a comment |
add a comment |
1 Answer
1
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.
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 oflapply
to your list. You can use the<<-
assignement which assisgns values globally rather than in the environment of yourlapply
call:x[-nrow(x),] <<- 0
. The you can drop theNewZ <- 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
add a comment |
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.
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 oflapply
to your list. You can use the<<-
assignement which assisgns values globally rather than in the environment of yourlapply
call:x[-nrow(x),] <<- 0
. The you can drop theNewZ <- 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
add a comment |
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.
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 oflapply
to your list. You can use the<<-
assignement which assisgns values globally rather than in the environment of yourlapply
call:x[-nrow(x),] <<- 0
. The you can drop theNewZ <- 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
add a comment |
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.
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.
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 oflapply
to your list. You can use the<<-
assignement which assisgns values globally rather than in the environment of yourlapply
call:x[-nrow(x),] <<- 0
. The you can drop theNewZ <- 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
add a comment |
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 oflapply
to your list. You can use the<<-
assignement which assisgns values globally rather than in the environment of yourlapply
call:x[-nrow(x),] <<- 0
. The you can drop theNewZ <- 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
add a comment |
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