Data analysis using R - Data types, variables, and reusable code - Lecture 1 (Part 3)
Channel: Danny Arends
Date: 2021-04-30

Learn about the R type system, variables and clean and reusable analysis in the R programming language, one of the most important tools in data science.

This is a live-stream recording of the 50+ hour MSc and PhD lecture series: "Data analysis using the R language for statistical computing", given digitally during the Covid19 pandemic at the Humboldt University in Berlin organized and lectured by Dr Danny Arends. 

Lectures @ https://dannyarends.nl/lectures/
Programming Assignments and Answers @ https://dannyarends.nl/assignments/
Playlist: https://www.youtube.com/playlist?list=PLhR2Go-lh6X6ZJnN4WQScB4qjO4GYTO0S

Chapters:
00:00 Welcome and basic data types in R
00:42 More advanced data types (list, data.frame, factor)
05:00 Quick self tests on data types in R
11:31 Indexing a list using [[ ]]
14:03 Functions for matrices and data.frames
15:50 Variables in R
16:56 Clean and reusable code
19:24 A basic header to an R script
20:38 Using a good text editor for coding
21:56 Clean code = smart code
23:33 Questions from students
28:29 Assignments to lecture 1
29:09 Time for some more questions

Thanks for taking an interest in my channel 😄If you've made it this far down, support me by giving a like or subscribing. Join me during my live streams Thursday afternoons on Twitch @ https://www.twitch.tv/dannyarends

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