R supports various variable types, each with its own characteristics. Understanding these types is crucial for data manipulation and analysis.

• The default computational data type.
• Used for real numbers.

# Example of numeric type
a <- 3.14
class(a)

## [1] "numeric"

• Used for integer values.
• Specify integers by appending L to the number.

# Example of integer type
b <- 42L
class(b)

## [1] "integer"

• Used for text or string data.
• Enclose the text in single or double quotes.

# Example of character type
c <- "Hello, R!"
class(c)

## [1] "character"

• Represents boolean values: TRUE or FALSE.
• Used for conditional testing.

# Example of logical type
d <- TRUE
class(d)

## [1] "logical"

• Used to handle categorical data.
• Stores both the levels and the values.

# Example of factor type
e <- factor(c("Low", "Medium", "High"), levels = c("Low", "Medium", "High"))
class(e)

## [1] "factor"

levels(e)

## [1] "Low"    "Medium" "High"

What is the class of the variable defined by x <- 2.5?

1. integer
2. numeric
3. character
4. logical

Which of the following is the correct way to create a character variable containing the text “R is fun”?

1. x <- R is fun
2. x <- "R is fun"
3. x <- c(R is fun)
4. x <- 'R' 'is' 'fun'

True or False: The expression class(100L) will return integer.

How do you specify a logical variable in R?

1. x <- logical
2. x <- "TRUE"
3. x <- TRUE
4. x <- T

Which function is used to create factors in R?

1. factor()
2. as.factor()
3. createFactor()
4. Both 1 and 2 are correct