R Data Types

In R we declare a variable with a data type to store the type of data.
R supports several fundamental data types.

Data Type

Description

Example

Numeric

Real or decimal numbers

num_var <- 3.14

Integer

Whole numbers

int_var <- 42L

Character

Text or strings

char_var <- "Hello, R!"

Logical

Boolean values (TRUE or FALSE)

logical_var <- TRUE

Factor

Categorical variables with levels

factor_var <- factor(c("Low", "Medium", "High"))

Vector

One-dimensional array

numeric_vector <- c(1, 2, 3, 4, 5)

Matrix

Two-dimensional array with rows and columns

matrix_var <- matrix(1:6, nrow = 2, ncol = 3)

Array

Multi-dimensional array

array_var <- array(1:24, dim = c(2, 3, 4))

Data Frame

Two-dimensional table with rows and columns

data <- data.frame(Name = c("John", "Jane", "Bob"), Age = c(25, 30, 22), Grade = c("A", "B", "C"))

List

Collection of elements with different data types

list_var <- list("apple", 3.14, TRUE)

NULL

Represents the absence of a value

null_var <- NULL

Missing Values (NA)

Represents missing or undefined values

missing_var <- NA

Complex

Complex numbers

complex_var <- 2 + 3i

Raw

Vector of bytes

raw_var <- as.raw(c(0x01, 0x02, 0x03))

Out of all Numeric, Integer, Character, Logical Data types are important because, remaining datatypes stores the values among the four data types only.


Example
# Numeric
num_var <- 3.14

# Integer
int_var <- 42L

# Character
char_var <- "Hello, R!"

# Logical
logical_var <- TRUE

# Factor
factor_var <- factor(c("Low", "Medium", "High"))

# Vector
numeric_vector <- c(1, 2, 3, 4, 5)
char_vector <- c("apple", "banana", "orange")

# Matrix
matrix_var <- matrix(1:6, nrow = 2, ncol = 3)

# Array
array_var <- array(1:24, dim = c(2, 3, 4))

# Data Frame
data <- data.frame(
  Name = c("John", "Jane", "Bob"),
  Age = c(25, 30, 22),
  Grade = c("A", "B", "C")
)

# List
list_var <- list("apple", 3.14, TRUE)

# NULL
null_var <- NULL

# Missing Values (NA)
missing_var <- NA

# Complex
complex_var <- 2 + 3i

# Raw
raw_var <- as.raw(c(0x01, 0x02, 0x03))

# Print variables
print(num_var)
print(int_var)
print(char_var)
print(logical_var)
print(factor_var)
print(numeric_vector)
print(char_vector)
print(matrix_var)
print(array_var)
print(data)
print(list_var)
print(null_var)
print(missing_var)
print(complex_var)
print(raw_var)

Quick Recap - Topics Covered

Data Types in R

Practice With Examples in Compilers

The Concepts and codes you leart practice in Compilers till you are confident of doing on your own. A Various methods of examples, concepts, codes availble in our websites. Don't know where to start Down some code examples are given for this page topic use the code and compiler.


Example 1
Example 1 Example 2 Example 3 Example 4 Example 5


Quiz


FEEDBACK