How to select certain elements from a list?
If I have list like this:
list_data <- list(c("Red", "Green","red"),
c(21,32,11,2,3,6,5,4),
c(1,2,5,4,TRUE, 51.23, 119.1))
I want to keep the last 2 elements before the last one from the list:
desired output:
> list_data
[[1]]
[1] "Red" "Green"
[[2]]
[1] 6 5
[[3]]
[1] 1.00 51.23
Any idea on this?
r
add a comment |
If I have list like this:
list_data <- list(c("Red", "Green","red"),
c(21,32,11,2,3,6,5,4),
c(1,2,5,4,TRUE, 51.23, 119.1))
I want to keep the last 2 elements before the last one from the list:
desired output:
> list_data
[[1]]
[1] "Red" "Green"
[[2]]
[1] 6 5
[[3]]
[1] 1.00 51.23
Any idea on this?
r
add a comment |
If I have list like this:
list_data <- list(c("Red", "Green","red"),
c(21,32,11,2,3,6,5,4),
c(1,2,5,4,TRUE, 51.23, 119.1))
I want to keep the last 2 elements before the last one from the list:
desired output:
> list_data
[[1]]
[1] "Red" "Green"
[[2]]
[1] 6 5
[[3]]
[1] 1.00 51.23
Any idea on this?
r
If I have list like this:
list_data <- list(c("Red", "Green","red"),
c(21,32,11,2,3,6,5,4),
c(1,2,5,4,TRUE, 51.23, 119.1))
I want to keep the last 2 elements before the last one from the list:
desired output:
> list_data
[[1]]
[1] "Red" "Green"
[[2]]
[1] 6 5
[[3]]
[1] 1.00 51.23
Any idea on this?
r
r
edited Nov 20 '18 at 10:35
Sotos
29k51640
29k51640
asked Nov 20 '18 at 10:24
bic tonbic ton
343129
343129
add a comment |
add a comment |
3 Answers
3
active
oldest
votes
Another option using tail
, i.e.
lapply(list_data, function(i)tail(i, 3)[-3])
#[[1]]
#[1] "Red" "Green"
#[[2]]
#[1] 6 5
#[[3]]
#[1] 1.00 51.23
add a comment |
You could do
lapply(list_data, function(x) x[(length(x) - 2:1)])
#[[1]]
#[1] "Red" "Green"
#[[2]]
#[1] 6 5
#[[3]]
#[1] 1.00 51.23
add a comment |
Solution with Map
(thanks to @Sotos for tail
):
Map(function(x)tail(x, 3)[-3],list_data)
# [[1]]
# [1] "Red" "Green"
#
# [[2]]
# [1] 6 5
#
# [[3]]
# [1] 1.00 51.23
If you name each element, you could get a data.frame
by using purrr
:
names(list_data) <- letters[1:3]
purrr::map_df(list_data, function(x) x[length(x)-2:1]) # ~ .x[length(.x)-(2:1)]
# # A tibble: 2 x 3
# a b c
# <chr> <dbl> <dbl>
# 1 Red 6 1
# 2 Green 5 51.2
add a comment |
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3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
Another option using tail
, i.e.
lapply(list_data, function(i)tail(i, 3)[-3])
#[[1]]
#[1] "Red" "Green"
#[[2]]
#[1] 6 5
#[[3]]
#[1] 1.00 51.23
add a comment |
Another option using tail
, i.e.
lapply(list_data, function(i)tail(i, 3)[-3])
#[[1]]
#[1] "Red" "Green"
#[[2]]
#[1] 6 5
#[[3]]
#[1] 1.00 51.23
add a comment |
Another option using tail
, i.e.
lapply(list_data, function(i)tail(i, 3)[-3])
#[[1]]
#[1] "Red" "Green"
#[[2]]
#[1] 6 5
#[[3]]
#[1] 1.00 51.23
Another option using tail
, i.e.
lapply(list_data, function(i)tail(i, 3)[-3])
#[[1]]
#[1] "Red" "Green"
#[[2]]
#[1] 6 5
#[[3]]
#[1] 1.00 51.23
answered Nov 20 '18 at 10:34
SotosSotos
29k51640
29k51640
add a comment |
add a comment |
You could do
lapply(list_data, function(x) x[(length(x) - 2:1)])
#[[1]]
#[1] "Red" "Green"
#[[2]]
#[1] 6 5
#[[3]]
#[1] 1.00 51.23
add a comment |
You could do
lapply(list_data, function(x) x[(length(x) - 2:1)])
#[[1]]
#[1] "Red" "Green"
#[[2]]
#[1] 6 5
#[[3]]
#[1] 1.00 51.23
add a comment |
You could do
lapply(list_data, function(x) x[(length(x) - 2:1)])
#[[1]]
#[1] "Red" "Green"
#[[2]]
#[1] 6 5
#[[3]]
#[1] 1.00 51.23
You could do
lapply(list_data, function(x) x[(length(x) - 2:1)])
#[[1]]
#[1] "Red" "Green"
#[[2]]
#[1] 6 5
#[[3]]
#[1] 1.00 51.23
answered Nov 20 '18 at 10:29
markusmarkus
11.1k1031
11.1k1031
add a comment |
add a comment |
Solution with Map
(thanks to @Sotos for tail
):
Map(function(x)tail(x, 3)[-3],list_data)
# [[1]]
# [1] "Red" "Green"
#
# [[2]]
# [1] 6 5
#
# [[3]]
# [1] 1.00 51.23
If you name each element, you could get a data.frame
by using purrr
:
names(list_data) <- letters[1:3]
purrr::map_df(list_data, function(x) x[length(x)-2:1]) # ~ .x[length(.x)-(2:1)]
# # A tibble: 2 x 3
# a b c
# <chr> <dbl> <dbl>
# 1 Red 6 1
# 2 Green 5 51.2
add a comment |
Solution with Map
(thanks to @Sotos for tail
):
Map(function(x)tail(x, 3)[-3],list_data)
# [[1]]
# [1] "Red" "Green"
#
# [[2]]
# [1] 6 5
#
# [[3]]
# [1] 1.00 51.23
If you name each element, you could get a data.frame
by using purrr
:
names(list_data) <- letters[1:3]
purrr::map_df(list_data, function(x) x[length(x)-2:1]) # ~ .x[length(.x)-(2:1)]
# # A tibble: 2 x 3
# a b c
# <chr> <dbl> <dbl>
# 1 Red 6 1
# 2 Green 5 51.2
add a comment |
Solution with Map
(thanks to @Sotos for tail
):
Map(function(x)tail(x, 3)[-3],list_data)
# [[1]]
# [1] "Red" "Green"
#
# [[2]]
# [1] 6 5
#
# [[3]]
# [1] 1.00 51.23
If you name each element, you could get a data.frame
by using purrr
:
names(list_data) <- letters[1:3]
purrr::map_df(list_data, function(x) x[length(x)-2:1]) # ~ .x[length(.x)-(2:1)]
# # A tibble: 2 x 3
# a b c
# <chr> <dbl> <dbl>
# 1 Red 6 1
# 2 Green 5 51.2
Solution with Map
(thanks to @Sotos for tail
):
Map(function(x)tail(x, 3)[-3],list_data)
# [[1]]
# [1] "Red" "Green"
#
# [[2]]
# [1] 6 5
#
# [[3]]
# [1] 1.00 51.23
If you name each element, you could get a data.frame
by using purrr
:
names(list_data) <- letters[1:3]
purrr::map_df(list_data, function(x) x[length(x)-2:1]) # ~ .x[length(.x)-(2:1)]
# # A tibble: 2 x 3
# a b c
# <chr> <dbl> <dbl>
# 1 Red 6 1
# 2 Green 5 51.2
answered Nov 20 '18 at 10:37
RLaveRLave
3,9951922
3,9951922
add a comment |
add a comment |
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