Vectors are a sequence of elements belonging to the same data type. A list in R, however, comprises of elements, vectors, variables or lists which may belong to different data types. In this article, we will study how to create a list consisting of vectors as elements and how to access, append and delete these vectors to lists. list() function in R creates a list of the specified arguments. The vectors specified as arguments in this function may have different lengths. Syntax:
list(arg1, arg2, ..)
Example 1:
Python3
# R program to create a list of Vectors
# Creating Vectors
vec1 <- c(1, 2, 3)
vec2 <- c(TRUE, FALSE)
# Creating a list of Vectors
listt = list(vec1, vec2)
# Printing List
print (listt)
Output:
[[1]]
[1] 1 2 3
[[2]]
[1] TRUE FALSE
Here, in the above code, vec1 is an integer vector of length 3. vec2 is a boolean vector of length 2. [[indx]] specifies the complete vector at the corresponding index value of the complete list. Example 2:
Python3
# R program to create a list of Vectors
# Creating Vectors
vec1 <- c(1, 2, 3)
vec2 <- c(TRUE, FALSE)
# Creating list of Vectors
listt = list(vec1, vec2)
# Printing List
print (listt[[2]])
print (listt[[2]][2])
Output:
[1] TRUE FALSE
[1] FALSE
The entire vector at a position can be accessed using the corresponding position value enclosed in [[ ]] or []. If we further, wish to access the elements of a particular vector, it can be specified by using the required position enclosed in [].The first print statement print the entire second vector contained in the list, that is vec2. And, the second print statement prints the second element of the second vector, which is FALSE.
Adding elements to a list
Additional vectors can be added by specifying the position in the list where we wish to append the new vector. The new elements are concatenated at the end of the list. Multiple elements can also be added to a list with the use of a 'for' or a 'while' loop. These elements may be vectors, matrices, numerical or variables. The changes are made to the original list. The elements are added in O(n) time complexity where n is the length of the list. Example 1:
Python3
# R program to create a list of Vectors
# Creating Vectors
vec1 <- c(1, 2, 3)
vec2 <- c(TRUE, FALSE)
# Creating list of Vectors
lst = list(vec1, vec2)
# Creating a new Vector
vec3 <- c(1 + 3i)
# Adding Vector to list
lst[[3]]<- vec3
# Printing List
print (lst)
Output:
[[1]]
[1] 1 2 3
[[2]]
[1] TRUE FALSE
[[3]]
[1] 1+3i
In the above code, vec3 is a vector consisting of a complex number. It is added at the third position in the list. Example 2:
Python3
# R program to create a list of Vectors
# Creating Vectors
vec1 <- c(1, 2, 3)
vec2 <- c(TRUE, FALSE)
# Creating list of Vectors
lst = list(vec1, vec2)
# determine the length of list
len <- length(lst)
# Creating new Vector
vec3 <- c(0.5, 2 + 2i)
# Using for loop to add elements
for( i in 1:2)
{
# Adding vector to list
lst[[len + i]]<- vec3
}
print (lst)
Output:
[[1]]
[1] 1 2 3
[[2]]
[1] TRUE FALSE
[[3]]
[1] 0.5+0i 2.0+2i
[[4]]
[1] 0.5+0i 2.0+2i
Here, in the above code, a for loop is created which runs two times and adds the vector 2+2i to the list at the end.
Removing elements from a list
The vector to be deleted can be assigned to a NULL value using its corresponding position in the list. The changes are made to the original list. The vectors can be deleted at any position in the list, thereby, the size reduces by one and the elements are pushed back accordingly. The entire list can be deleted by successively forming a loop and deleting elements one by one. Example:
Python3
# R program to create a list of Vectors
# Creating Vectors
vec1 <- c(1, 2, 3)
vec2 <- c(TRUE, FALSE)
# Creating list of Vectors
lst = list(vec1, vec2)
# Creating new Vector
vec3 <- c(1 + 3i)
# Adding Vector to list
lst[[3]]<- vec3
print ("Original List")
print (lst)
# Removing Vector from list
lst[[2]]<-NULL
print ("Modified List")
print (lst)
Output:
[1] "Original List"
[[1]]
[1] 1 2 3
[[2]]
[1] TRUE FALSE
[[3]]
[1] 1+3i
[1] "Modified List"
[[1]]
[1] 1 2 3
[[2]]
[1] 1+3i
Here, the second vector is deleted from the original list.
Modifying elements in a list
Elements can be modified in a similar fashion, by assigning a new vector to the desired position. Elements at any index can be changed to other vectors, functions or even matrices. Modification of an element requires O(1) time complexity. Example:
Python3
# R program to create a list of Vectors
# Creating Vectors
vec1 <- c(1, 2, 3)
vec2 <- c(TRUE, FALSE)
# Creating list of Vectors
lst = list(vec1, vec2)
print ("original list")
print (lst)
# Modifying List element
lst[[2]]<-c("TEACH", "CODING")
print ("Modified List")
print (lst)
Output:
[1] "original list"
[[1]]
[1] 1 2 3
[[2]]
[1] TRUE FALSE
[1] "Modified List"
[[1]]
[1] 1 2 3
[[2]]
[1] "TEACH" "CODING"
Merging two lists
The lists comprising of vectors can be merged together to form a larger list. The lists are merged in the order in which they appear in the function as arguments. The total size of the merged list is the sum of sizes of individual lists. There are two ways to merge lists into one: c() function or the append() function both of which take arguments as the lists to combine. The time complexity required to merge two lists is O(m) where m is the size of the list appearing first in the function. Example:
Python3
# R program to merge two lists of Vectors
# Creating 1st list
list_data1 <- list(c(1:3), c(TRUE, FALSE))
# Creating 2nd list
list_data2 <- list(c(0.1, 3.4))
print("First List")
print (list_data1)
print ("Second List")
print (list_data2)
print("Merged List")
# Merging Lists
merged_list <- c(list_data1, list_data2)
print (merged_list)
Output:
[1] "First List"
[[1]]
[1] 1 2 3
[[2]]
[1] TRUE FALSE
[1] "Second List"
[[1]]
[1] 0.1 3.4
[1] "Merged List"
[[1]]
[1] 1 2 3
[[2]]
[1] TRUE FALSE
[[3]]
[1] 0.1 3.4
Example 2:
Python3
# R program to Merge two lists
# Creating 1st list
list_data1 <- list(c(1:3), c(TRUE, FALSE))
# Creating 2nd List
list_data2 <- list(c("Hi"))
print("First List")
print (list_data1)
print ("Second List")
print (list_data2)
print("Merged List")
# Merging lists using append function
merged_list <- append(list_data1, list_data2)
print (merged_list)
Output:
[1] "First List"
[[1]]
[1] 1 2 3
[[2]]
[1] TRUE FALSE
[1] "Second List"
[[1]]
[1] "Hi"
[1] "Merged List"
[[1]]
[1] 1 2 3
[[2]]
[1] TRUE FALSE
[[3]]
[1] "Hi"
List1 contains one integer vector and another boolean vector. List2 contains a single vector comprising of real numbers. Merged List is of size three as a summation of all these three vectors.
Similar Reads
Operations on Vectors in R Vectors are the most basic data types in R. Even a single object created is also stored in the form of a vector. Vectors are nothing but arrays as defined in other languages. Vectors contain a sequence of homogeneous types of data. If mixed values are given then it auto converts the data according t
4 min read
R-Vectors R Vectors are the same as the arrays in R language which are used to hold multiple data values of the same type. One major key point is that in R Programming Language the indexing of the vector will start from '1' and not from '0'. We can create numeric vectors and character vectors as well. R - Vec
4 min read
How to Print a Vector in R In this article, we'll look at how to print a vector's elements in R using a for loop. We'll go through a for loop's fundamental syntax, describe how to access vector members inside the loop, and give instances of several situations in which this method might be helpful. Learning how to use for loop
3 min read
Assigning Vectors in R Programming Vectors are one of the most basic data structure in R. They contain data of same type. Vectors in R is equivalent to arrays in other programming languages. In R, array is a vector of one or more dimensions and every single object created is stored in the form of a vector. The members of a vector are
5 min read
Types of Vectors in R Programming Vectors in R programming are the same as the arrays in C language which are used to hold multiple data values of the same type. One major key point is that in R the indexing of the vector will start from â1â and not from â0â. Vectors are the most basic data types in R. Even a single object created i
5 min read
List of Dataframes in R DataFrames are generic data objects of R which are used to store the tabular data. They are two-dimensional, heterogeneous data structures. A list in R, however, comprises of elements, vectors, data frames, variables, or lists that may belong to different data types. In this article, we will study h
7 min read