Dealing with Data - Lecture 3 - Data analysis using R

Learn about reading and writing (Big) data in the R language for statistical computing. During this third lecture, we'll discuss the answers to lecture 2, and go into more detail about dealing with data in R. Learn how to manage Big Data, deal with binary data, and how to continue a long running analysis after e.g. the power goes out. Furthermore, I'll show how you can use biomaRt to download data from the ensembl database directly into your R analysis.

#Lectures: https://dannyarends.nl/rlectures/
#Assignments and Answers: https://dannyarends.nl/r2022/
#Playlist:    • Data analysis using R  

Song break 1: Elgato Stream Deck - Inside the reactor
Song break 2: Elgato Stream Deck - Barn Music

Chapters:
00:00:00 - Sound check and introduction
00:07:15 - Assignments for lecture 2
01:14:38 - Break 1 - Goat gifs
01:19:45 - Free books for learning R
01:21:50 - Overview of the lecture
01:25:36 - R and Data
01:27:50 - Random numbers in R
01:28:13 - Data from R packages
01:30:09 - Loading data from tabular files (CSV, TSV)
01:50:00 - Read files by file connections
01:57:00 - Reading in MS Excel files
02:09:36 - Reading in binary files
02:11:32 - Break 2: Penguin gifs
02:18:13 - Advanced binary files example: Reading in BMP files into R
02:28:25 - Managing your data in R (%in%, which(), subset)
02:38:38 - Writing progress report for big data
02:42:00 - Using the biomaRt package
02:51:15 - Questions from viewers and outro

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