Reputation: 18074
I have a list and I want to remove a single element from it. How can I do this?
I've tried looking up what I think the obvious names for this function would be in the reference manual and I haven't found anything appropriate.
Upvotes: 369
Views: 713317
Reputation: 18612
There are several options from the purrr
package:
Easily keep or discard by name or index
discard_at
and keep_at
allows you to keep elements by name OR position:
library(purrr)
l <- list("a" = 1:2, "b" = 3:4, "d" = list("e" = 5:6, "f" = 7:8))
discard_at(l, "d")
# $a
# [1] 1 2
#
# $b
# [1] 3 4
keep_at(l, c("a", "b"))
# $a
# [1] 1 2
#
# $b
# [1] 3 4
Keep or discard with combination of name and index (works for nested lists)
pluck
and assign_in
work well with nested values and you can access it using a combination of names and/or indices:
# select values (by name and/or index)
all.equal(pluck(l, "d", "e"), pluck(l, 3, "e"), pluck(l, 3, 1))
[1] TRUE
# or if element location stored in a vector use !!!
pluck(l, !!! as.list(c("d", "e")))
[1] 5 6
# remove values (modifies in place)
pluck(l, "d", "e") <- NULL
# assign_in to remove values with name and/or index (does not modify in place)
assign_in(l, list("d", 1), NULL)
$a
[1] 1 2
$b
[1] 3 4
$d
$d$f
[1] 7 8
Or you can remove values using modify_list
by assigning zap()
or NULL
:
all.equal(list_modify(l, a = zap()), list_modify(l, a = NULL))
[1] TRUE
Keep or discard using predicate function
You can remove or keep elements using a predicate function with discard
and keep
:
# remove numeric elements ("d" is a list)
discard(l, is.numeric)
$d
$d$e
[1] 5 6
$d$f
[1] 7 8
# keep numeric elements
keep(l, is.numeric)
$a
[1] 1 2
$b
[1] 3 4
Upvotes: 3
Reputation: 51
Assume that 'remove' means making it 'NULL' without changing the overall order.
mylist <- list("a", "b", "c", "d", "e", "f", "g")
# remove rule (or)
# 1. remove letter "e" & "f"
# 2. remove the 2nd value
mapply(
\(x, y) if (x %in% c("e", "f") | y == 2) { NULL } else { x },
mylist,
1:length(mylist)
)
# output:
# [[1]]
# [1] "a"
#
# [[2]]
# NULL
#
# [[3]]
# [1] "c"
#
# [[4]]
# [1] "d"
#
# [[5]]
# NULL
#
# [[6]]
# NULL
#
# [[7]]
# [1] "g"
Upvotes: 0
Reputation: 5365
If you don't want to modify the list in-place (e.g. for passing the list with an element removed to a function), you can use indexing: negative indices mean "don't include this element".
x <- list("a", "b", "c", "d", "e") # example list
x[-2] # without 2nd element
x[-c(2, 3)] # without 2nd and 3rd
Also, logical index vectors are useful:
x[x != "b"] # without elements that are "b"
This works with dataframes, too:
df <- data.frame(number = 1:5, name = letters[1:5])
df[df$name != "b", ] # rows without "b"
df[df$number %% 2 == 1, ] # rows with odd numbers only
Upvotes: 304
Reputation: 353
If you only want to remove the first occurrence of the element "b"
and leave the rest
x <- c("a", "b", "b", "c", "d", "e")
which(x == "b")
# [1] 2 3
which(x == "b")[1]
# [1] 2
x[-which(x == "b")[1]]
# [1] "a" "b" "c" "d" "e"
Upvotes: 2
Reputation: 3033
Using lapply and grep:
lst <- list(a = 1:4, b = 4:8, c = 8:10)
# say you want to remove a and c
toremove<-c("a","c")
lstnew<-lst[-unlist(lapply(toremove, function(x) grep(x, names(lst)) ) ) ]
# or
pattern<-"a|c"
lstnew<-lst[-grep(pattern, names(lst))]
# or
lst %>% purrr::discard(names(.) == "a") # use %in% for a set
Upvotes: 2
Reputation: 74518
I don't know R at all, but a bit of creative googling led me here: http://tolstoy.newcastle.edu.au/R/help/05/04/1919.html
The key quote from there:
I do not find explicit documentation for R on how to remove elements from lists, but trial and error tells me
myList[[5]] <- NULL
will remove the 5th element and then "close up" the hole caused by deletion of that element. That suffles the index values, So I have to be careful in dropping elements. I must work from the back of the list to the front.
A response to that post later in the thread states:
For deleting an element of a list, see R FAQ 7.1
And the relevant section of the R FAQ says:
... Do not set x[i] or x[[i]] to NULL, because this will remove the corresponding component from the list.
Which seems to tell you (in a somewhat backwards way) how to remove an element.
Upvotes: 253
Reputation: 735
Here is a simple solution that can be done using base R. It removes the number 5 from the original list of numbers. You can use the same method to remove whatever element you want from a list.
#the original list
original_list = c(1:10)
#the list element to remove
remove = 5
#the new list (which will not contain whatever the `remove` variable equals)
new_list = c()
#go through all the elements in the list and add them to the new list if they don't equal the `remove` variable
counter = 1
for (n in original_list){
if (n != ){
new_list[[counter]] = n
counter = counter + 1
}
}
The new_list
variable no longer contains 5.
new_list
# [1] 1 2 3 4 6 7 8 9 10
Upvotes: 0
Reputation: 729
You can also negatively index from a list using the extract
function of the magrittr
package to remove a list item.
a <- seq(1,5)
b <- seq(2,6)
c <- seq(3,7)
l <- list(a,b,c)
library(magrittr)
extract(l,-1) #simple one-function method
[[1]]
[1] 2 3 4 5 6
[[2]]
[1] 3 4 5 6 7
Upvotes: 2
Reputation: 627
if you'd like to avoid numeric indices, you can use
a <- setdiff(names(a),c("name1", ..., "namen"))
to delete names namea...namen
from a. this works for lists
> l <- list(a=1,b=2)
> l[setdiff(names(l),"a")]
$b
[1] 2
as well as for vectors
> v <- c(a=1,b=2)
> v[setdiff(names(v),"a")]
b
2
Upvotes: -1
Reputation: 3833
Use -
(Negative sign) along with position of element, example if 3rd element is to be removed use it as your_list[-3]
Input
my_list <- list(a = 3, b = 3, c = 4, d = "Hello", e = NA)
my_list
# $`a`
# [1] 3
# $b
# [1] 3
# $c
# [1] 4
# $d
# [1] "Hello"
# $e
# [1] NA
Remove single element from list
my_list[-3]
# $`a`
# [1] 3
# $b
# [1] 3
# $d
# [1] "Hello"
# $e
[1] NA
Remove multiple elements from list
my_list[c(-1,-3,-2)]
# $`d`
# [1] "Hello"
# $e
# [1] NA
my_list[c(-3:-5)]
# $`a`
# [1] 3
# $b
# [1] 3
my_list[-seq(1:2)]
# $`c`
# [1] 4
# $d
# [1] "Hello"
# $e
# [1] NA
Upvotes: 16
Reputation: 4288
I would like to add that if it's a named list you can simply use within
.
l <- list(a = 1, b = 2)
> within(l, rm(a))
$b
[1] 2
So you can overwrite the original list
l <- within(l, rm(a))
to remove element named a
from list l
.
Upvotes: 73
Reputation: 2539
In the case of named lists I find those helper functions useful
member <- function(list,names){
## return the elements of the list with the input names
member..names <- names(list)
index <- which(member..names %in% names)
list[index]
}
exclude <- function(list,names){
## return the elements of the list not belonging to names
member..names <- names(list)
index <- which(!(member..names %in% names))
list[index]
}
aa <- structure(list(a = 1:10, b = 4:5, fruits = c("apple", "orange"
)), .Names = c("a", "b", "fruits"))
> aa
## $a
## [1] 1 2 3 4 5 6 7 8 9 10
## $b
## [1] 4 5
## $fruits
## [1] "apple" "orange"
> member(aa,"fruits")
## $fruits
## [1] "apple" "orange"
> exclude(aa,"fruits")
## $a
## [1] 1 2 3 4 5 6 7 8 9 10
## $b
## [1] 4 5
Upvotes: 3
Reputation: 99
Don't know if you still need an answer to this but I found from my limited (3 weeks worth of self-teaching R) experience with R that, using the NULL
assignment is actually wrong or sub-optimal especially if you're dynamically updating a list in something like a for-loop.
To be more precise, using
myList[[5]] <- NULL
will throw the error
myList[[5]] <- NULL : replacement has length zero
or
more elements supplied than there are to replace
What I found to work more consistently is
myList <- myList[[-5]]
Upvotes: 9
Reputation: 1642
Just wanted to quickly add (because I didn't see it in any of the answers) that, for a named list, you can also do l["name"] <- NULL
. For example:
l <- list(a = 1, b = 2, cc = 3)
l['b'] <- NULL
Upvotes: 7
Reputation: 39
You can use which
.
x<-c(1:5)
x
#[1] 1 2 3 4 5
x<-x[-which(x==4)]
x
#[1] 1 2 3 5
Upvotes: -1
Reputation: 11
How about this? Again, using indices
> m <- c(1:5)
> m
[1] 1 2 3 4 5
> m[1:length(m)-1]
[1] 1 2 3 4
or
> m[-(length(m))]
[1] 1 2 3 4
Upvotes: -1
Reputation: 3104
There's the rlist package (http://cran.r-project.org/web/packages/rlist/index.html) to deal with various kinds of list operations.
Example (http://cran.r-project.org/web/packages/rlist/vignettes/Filtering.html):
library(rlist)
devs <-
list(
p1=list(name="Ken",age=24,
interest=c("reading","music","movies"),
lang=list(r=2,csharp=4,python=3)),
p2=list(name="James",age=25,
interest=c("sports","music"),
lang=list(r=3,java=2,cpp=5)),
p3=list(name="Penny",age=24,
interest=c("movies","reading"),
lang=list(r=1,cpp=4,python=2)))
list.remove(devs, c("p1","p2"))
Results in:
# $p3
# $p3$name
# [1] "Penny"
#
# $p3$age
# [1] 24
#
# $p3$interest
# [1] "movies" "reading"
#
# $p3$lang
# $p3$lang$r
# [1] 1
#
# $p3$lang$cpp
# [1] 4
#
# $p3$lang$python
# [1] 2
Upvotes: 11
Reputation: 7908
If you have a named list and want to remove a specific element you can try:
lst <- list(a = 1:4, b = 4:8, c = 8:10)
if("b" %in% names(lst)) lst <- lst[ - which(names(lst) == "b")]
This will make a list lst
with elements a
, b
, c
. The second line removes element b
after it checks that it exists (to avoid the problem @hjv mentioned).
or better:
lst$b <- NULL
This way it is not a problem to try to delete a non-existent element (e.g. lst$g <- NULL
)
Upvotes: 19
Reputation: 836
Removing Null elements from a list in single line :
x=x[-(which(sapply(x,is.null),arr.ind=TRUE))]
Cheers
Upvotes: 23
Reputation: 3881
Here is how the remove the last element of a list in R:
x <- list("a", "b", "c", "d", "e")
x[length(x)] <- NULL
If x might be a vector then you would need to create a new object:
x <- c("a", "b", "c", "d", "e")
x <- x[-length(x)]
Upvotes: 40