# Define a vector
<- c(1, 2, 3, 4, 5)
numbers
# Square each element using map()
library(purrr)
<- map(numbers, ~ .x^2)
squared_numbers
# Print the result
print(squared_numbers)
[[1]]
[1] 1
[[2]]
[1] 4
[[3]]
[1] 9
[[4]]
[1] 16
[[5]]
[1] 25
Steven P. Sanderson II, MPH
March 26, 2024
In the world of data manipulation and analysis with R, efficiency and simplicity are paramount. One function that epitomizes these qualities is map()
. Whether you’re a novice or a seasoned R programmer, mastering map()
can significantly streamline your workflow and enhance your code readability. In this guide, we’ll delve into the syntax, usage, and numerous examples to help you harness the full power of map()
.
Syntax:
map(.x, .f, ...)
.x
: A list or atomic vector..f
: A function to apply to each element of .x
....
: Additional arguments to be passed to .f
.# Define a vector
numbers <- c(1, 2, 3, 4, 5)
# Square each element using map()
library(purrr)
squared_numbers <- map(numbers, ~ .x^2)
# Print the result
print(squared_numbers)
[[1]]
[1] 1
[[2]]
[1] 4
[[3]]
[1] 9
[[4]]
[1] 16
[[5]]
[1] 25
In this example, we utilize map()
to apply the square function to each element of the vector numbers
. The result is a new vector squared_numbers
containing the squared values.
# Define a list
names <- list("John", "Alice", "Bob")
# Convert each name to uppercase using map()
library(purrr)
uppercase_names <- map(names, toupper)
# Print the result
print(uppercase_names)
[[1]]
[1] "JOHN"
[[2]]
[1] "ALICE"
[[3]]
[1] "BOB"
Here, map()
transforms each element of the list names
to uppercase using the toupper()
function.
# Define a list of strings
words <- list("apple", "banana", "orange")
# Extract substrings using map()
library(purrr)
substring_list <- map(words, substr, start = 1, stop = 3)
# Print the result
print(substring_list)
[[1]]
[1] "app"
[[2]]
[1] "ban"
[[3]]
[1] "ora"
In this example, we pass additional arguments start
and stop
to the substr()
function within map()
. This extracts the first three characters of each word in the list words
.
Explanation:
The map()
function iterates over each element of the input data structure (vector or list) and applies the specified function to each element. It then returns the results as a list.
[[1]]
[1] -0.2490827 -0.2498850 0.5439327 1.0617387 1.6211063
[[2]]
[1] 1.2767685 1.2854668 1.1979807 0.4309475 1.2817245
[[3]]
[1] 3.136021 2.699936 1.956743 4.685243 3.923138
In this example, we use the pipe operator to pass the vector data
to the map()
function. We then apply the rnorm()
function to each element of the vector, generating a list of random numbers.
Mastering the map()
function in R opens up a world of possibilities for efficient data manipulation and transformation. By simplifying repetitive tasks and improving code readability, map()
empowers you to focus more on data analysis and less on cumbersome loops. Experiment with different functions and data structures to explore the versatility of map()
. Happy mapping!