Algorithms & Functions - Lecture 7 - Data analysis using R

Learn more about the theory behind writing code. We'll discuss what is an algorithm is, and how to write good functions in R. Furthermore, we'll dive into the world of (in)direct recursion, the recursion invariant, recursion limits, and take a look at higher order functions in the R programming language.

Chapters:
00:00:00 - Sound check and introduction
00:04:33 - Answers to Assignments Lecture 6
01:09:24 - Break 1: Alligator gifs
01:16:26 - Overview Lecture 7: Algorithms and Functions
01:19:52 - Some words about practicing
01:24:06 - Additional assignments & Cheat sheet for R
01:27:02 - Algorithms and State Diagrams
01:39:25 - Classification of Algorithms
01:48:03 - Introduction of Design Patterns
01:52:24 - Examples of Design Patterns
02:09:15 - Break 2: Squirrel gifs
02:15:41 - Function Scope in R
02:27:11 - Recursive functions in R (with Example)
02:40:26 - Infinite Recursion and the invariant
02:42:58 - Indirect Recursion in R (with Example)
02:49:27 - Advanced Functions in R
02:54:14 - Lecture Summary / Overview
02:56:43 - Questions and Fibonacci numbers by iteration

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[dereksniper]

Thank you prof. Arends for the clear lecture!

[paulosergioschlogl]

Hi Danny.
Where are the arradata.txt and the assignment 06? To follow along? Thanks

[ajibadefelix]

Please, sir, I have worked on algorithms such Ishikawa, Normal S, Mann and F* how can I go through it on the R program

[paulosergioschlogl]

Would be nice to make a kind of real analysis...