Understanding Data Types in R

In this guide, we’ll explore the different data types in R. Understanding data types is essential for effective programming and data manipulation.

Types of Data in R

R has several basic data types, including:

Numeric: Represents numbers, both integers and decimals.
- Example: x <- 10 or y <- 3.14
Character: Represents text strings.
- Example: name <- "Alice"
Logical: Represents boolean values (TRUE or FALSE).
- Example: is_true <- TRUE
Integer: Represents whole numbers. You can define an integer by adding an 'L' suffix.
- Example: age <- 25L
Complex: Represents complex numbers.
- Example: z <- 1 + 2i

Understanding these data types will help you handle and manipulate data efficiently in your R programs.

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