INFO:

Welcome to my R tutorial for absolute beginners :-) My main programming language is Python but I had to do some R while graduating and meanwhile I am really enthusiastic about this language and already did some projects with it. A lot of quantitative trading strategies but also ML algorithms/ Data Science / Data Analysis Projects are written in R and you don't want to miss out at least having a basic understanding of the language. I can only recommend to have a look and write some programs in it no matter if you are interested in Finance , Data Analysis or Data Science! I hope with this tutorial I can give you an overview of the - in my perception - most important basics so that you can start out writing some programs in it. Let me know your thoughts or questions in the comments below. How to install R and Rstudio: https://courses.edx.org/courses/UTAustinX/UT.7.01x/3T2014/56c5437b88fa43cf828bff5371c6a924/ Is Python better than R? https://www.ibm.com/cloud/blog/python-vs-r Example csv from: https://people.sc.fsu.edu/~jburkardt/data/csv/csv.html More background on how recursive functions are working (but in Python) check my first video: https://youtu.be/Q9hg547tkMA 0:00 - 02:06 Intro / Why and when learn R? 02:06 - 02:50 Rstudio Code Execution 02:50 - 03:45 Variable assignment 03:45 - 05:56 Datatypes 05:56 - 07:26 Arithmetic Operators 07:26 - 08:59 Relational Operators 08:59 - 10:04 Sequences 10:04 - 12:05 Vectors 12:05 - 14:48 Matrices 14:48 - 17:48 Vector/Matrix Indexing 17:48 - 19:09 Lists (storing different types of data) 19:09 - 20:55 DataFrames 20:55 - 23:04 Reading in csv files and useful features of DataFrames 23:04 - 28:09 Conditional Statements (If / else if / else) 28:09 - 29:54 For Loop 29:54 - 31:13 While Loop 31:13 - 34:07 Functions 34:07 - 36:03 Recursive function (Factorial) 36:03 - 39:13 Fizzbuzz in R #R #Rprogramming #Rtutorial