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R Advanced Data Structures

R provides advanced data structures such as lists, data frames, and S3/S4 objects for more complex data handling. Understanding these structures is crucial for data analysis and modeling.

Key Topics

Lists

# Creating a list
my_list <- list(name = "Alice", age = 30, scores = c(85, 90, 95))

print(my_list)

Output:

$name
[1] "Alice"

$age
[1] 30

$scores
[1] 85 90 95

Code Explanation: The list() function creates a list with elements of different data types, accessible by name.

S3 and S4 Objects

S3 and S4 are object-oriented systems in R. S3 is simpler and more commonly used, while S4 provides more formal class definitions.

Example content for S3 and S4 objects will be covered in advanced topics.

Key Takeaways

  • Lists can store heterogeneous data types and are useful for complex data.
  • S3 and S4 objects provide object-oriented programming capabilities in R.
  • Advanced data structures are crucial for modeling and data manipulation.
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