In the R programming language, arithmetic and logical operators are used to perform mathematical and logical operations on data. R supports various data types, each of which interacts differently with these operators. Here are some examples of arithmetic and logical operations on different data types in R:

Arithmetic Operators:

# Numeric Data Type

x ← 10

y ← 5

sum ← x + y

difference ← x - y

product ← x * y

quotient ← x / y

remainder ← x %% y

# Character Data Type (Concatenation)

text1 ← "Hello, "

text2 ← “R!”

concatenated_text ← paste(text1, text2)

# Vectorized Arithmetic Operations

vector1 ← c(1, 2, 3)

vector2 ← c(4, 5, 6)

sum_vector ← vector1 + vector2

Logical Operators:

# Logical Data Type

a ← TRUE

b ← FALSE

# Comparison Operators

greater_than ← x > y

less_than ← x < y

equal_to ← x == y

not_equal_to ← x != y

# Logical AND, OR, NOT

logical_and ← a & b

logical_or ← a | b

logical_not ← !a

# Vectorized Logical Operations

vector_logical ← c(TRUE, FALSE, TRUE)

vector2_logical ← c(FALSE, TRUE, FALSE)

vector_and ← vector_logical & vector2_logical

Data Types and Operations:

# Numeric Data Types

num_var ← 42

num_vector ← c(1, 2, 3, 4)

# Character Data Types

char_var ← “R programming”

char_vector ← c(“apple”, “banana”, “cherry”)

# Logical Data Types

logical_var ← TRUE

logical_vector ← c(TRUE, FALSE, TRUE)

# Vectorized Arithmetic Operations with Different Data Types

result ← num_vector * 2

result_with_char ← char_vector + " is a fruit"

These examples illustrate how arithmetic and logical operators work with different data types in R. It’s important to note that R is a vectorized language, meaning many operations are automatically applied element-wise to entire vectors or arrays, which simplifies working with data.