ProgramGuruIn this tutorial, we will learn about lists in R. We will cover the basics of creating, accessing, modifying, and performing operations on lists.
A list in R is an object that can contain elements of different types, including numbers, strings, vectors, and even other lists. Lists are useful for grouping related but different types of data together.
Lists can be created in R using the list() function:
my_list <- list(name = 'Alice', age = 25, scores = c(90, 85, 88))The above code creates a list with three elements: a character string, a numeric value, and a numeric vector.
my_list using the list function.name with a character value, age with a numeric value, and scores with a numeric vector.my_list <- list(name = 'Alice', age = 25, scores = c(90, 85, 88))
print(my_list)$name [1] "Alice" $age [1] 25 $scores [1] 90 85 88
my_list with elements name, age, and scores.name element using the dollar sign $ operator and print it.scores element using double square brackets [[ ]] and print it.scores vector within the list and print it.my_list <- list(name = 'Alice', age = 25, scores = c(90, 85, 88))
print(my_list$name)
print(my_list[['scores']])
print(my_list$scores[2])[1] "Alice" [1] 90 85 88 [1] 85
my_list with elements name, age, and scores.age element by assigning a new value to it.gender to the list.my_list <- list(name = 'Alice', age = 25, scores = c(90, 85, 88))
my_list$age <- 26
my_list$gender <- 'Female'
print(my_list)$name [1] "Alice" $age [1] 26 $scores [1] 90 85 88 $gender [1] "Female"
list1 and list2 with different elements.combined_list using the c() function.list1 <- list(a = 1, b = 2)
list2 <- list(c = 'three', d = 4)
combined_list <- c(list1, list2)
print(combined_list)$a [1] 1 $b [1] 2 $c [1] "three" $d [1] 4
my_list with elements name, age, and scores.lapply() function to apply the mean function to the scores element of the list.my_list <- list(name = 'Alice', age = 25, scores = c(90, 85, 88))
mean_scores <- lapply(my_list['scores'], mean)
print(mean_scores)$scores [1] 87.66667