How do I create an empty vector in r?
There are several ways to create empty vector in r. For example,
v2<-NULL
or
v2<-c()
Try this:
v2 <- NULL
for (i in 1:length(df)){
if (df$Texture[i] == 'Silt Loam'){
new_val <- df$`pH 1:1`[i]}
v2[i] <- new_val
}
Append value to empty vector in R?
Appending to an object in a for loop causes the entire object to be copied on every iteration, which causes a lot of people to say "R is slow", or "R loops should be avoided".
As BrodieG mentioned in the comments: it is much better to pre-allocate a vector of the desired length, then set the element values in the loop.
Here are several ways to append values to a vector. All of them are discouraged.
Appending to a vector in a loop
# one way
for (i in 1:length(values))
vector[i] <- values[i]
# another way
for (i in 1:length(values))
vector <- c(vector, values[i])
# yet another way?!?
for (v in values)
vector <- c(vector, v)
# ... more ways
help("append")
would have answered your question and saved the time it took you to write this question (but would have caused you to develop bad habits). ;-)
Note that vector <- c()
isn't an empty vector; it's NULL
. If you want an empty character vector, use vector <- character()
.
Pre-allocate the vector before looping
If you absolutely must use a for loop, you should pre-allocate the entire vector before the loop. This will be much faster than appending for larger vectors.
set.seed(21)
values <- sample(letters, 1e4, TRUE)
vector <- character(0)
# slow
system.time( for (i in 1:length(values)) vector[i] <- values[i] )
# user system elapsed
# 0.340 0.000 0.343
vector <- character(length(values))
# fast(er)
system.time( for (i in 1:length(values)) vector[i] <- values[i] )
# user system elapsed
# 0.024 0.000 0.023
Cannot create an empty vector and append new elements in R
append
does something that is somewhat different from what you are thinking. See ?append
.
In particular, note that append
does not modify its argument. It returns the result.
You want the function c
:
> a <- numeric()
> a <- c(a, 1)
> a
[1] 1
R: Adding an empty vector to a list
Using things like vector()
(logical) and character()
assigns a specific class to an element you'd like to remain "empty". I would use the NULL class. You can assign a NULL list element by using [<-
instead of [[<-
.
a <- list()
a[1] <- list(NULL)
a
# [[1]]
# NULL
length(a)
# [1] 1
How to populate an empty vector in R using a function?
You should initialize empty_vec
within func
and return it (so you should put empty_vec
at the bottom as well), e.g.,
func <- function(num) {
empty_vec <- c()
for (numbers in num) {
i <- sqrt(numbers)
empty_vec <- c(empty_vec, i)
}
empty_vec
}
such that
> func(c(4, 5, 6, 7))
[1] 2.000000 2.236068 2.449490 2.645751
Since what you are doing is to calculate sqrt
, you can do it just via
> sqrt(c(4,5,6,7))
[1] 2.000000 2.236068 2.449490 2.645751
How to insert an element at a specific position of an empty vector?
You need to do this in two steps:
- First resize the vector or create a vector with an appropriate size.
- Next set the elements accordingly.
Since you are coming from R I assume you want the vector to be initially filled with missing values. Here is the way to do this.
In my example I assume you want to store integers in the vector. Before both options load the Missings.jl package:
using Missings
Option 1. Start with an empty vector
julia> x = missings(Int, 0)
Union{Missing, Int64}[]
julia> resize!(x, 4)
4-element Vector{Union{Missing, Int64}}:
missing
missing
missing
missing
julia> x[1] = 10
10
julia> x[4] = 40
40
julia> x
4-element Vector{Union{Missing, Int64}}:
10
missing
missing
40
Option 2. Preallocate a vector
julia> x = missings(Int, 4)
4-element Vector{Union{Missing, Int64}}:
missing
missing
missing
missing
julia> x[1] = 10
10
julia> x[4] = 40
40
The reason why Julia does not resize the vectors automatically is for safety. Sometimes it would be useful, but most of the time if x
is an empty vector and you write x[4] = 40
it is a bug in the code and Julia catches such cases.
EDIT
What you can do is:
function setvalue(vec::Vector, idx, val)
@assert idx > 0
if idx > length(vec)
resize!(vec, idx)
end
vec[idx] = val
return vec
end
Turning a character vector into an empty list with names from the character vector
1) Base R No packages are used.
Map(function(x) NULL, myvec)
2) gsubfn At the expense of using a package we can slightly shorten it further:
library(gsubfn)
fn$Map(. ~ NULL, myvec)
3) purrr or using purrr (at the expense of a package and a few more characters in code length). This is similar to the approach in the question but simplifies it by eliminating the as.list
which is not needed.
library(purrr)
map(set_names(myvec), ~ NULL)
Note
A comment below this answer points out that NULL
can be replaced with {}
.
That will save two characters and applies to any of the above.
Related Topics
Is This Bad Programming Practice in Tkinter
Using a Django Variable in a CSS File
How Is the Feature Score(/Importance) in the Xgboost Package Calculated
Benchmarks: Does Python Have a Faster Way of Walking a Network Folder
Python: What's the Difference Between Pythonbrew and Virtualenv
Getting List of Lists into Pandas Dataframe
How to Change the Default MySQL Connection Timeout When Connecting Through Python
Dll Load Failed Error When Importing Cv2
How to Send an Email with Python
Defining the Midpoint of a Colormap in Matplotlib
Error Message: 'Chromedriver' Executable Needs to Be Path
Django Gunicorn Not Load Static Files
R, Python: Install Packages on Rpy2
Integration Testing for a Web App
Is There Something Like Bpython for Ruby
Cosine Similarity Between 2 Number Lists