R Programming 101 - Crash Course for beginners
This is an R programming tutorial for beginners who have never coded in R. We see how to learn r programming.
You can find the code from the video here: https://gist.github.com/alejandro-ao/...
R is a widely used open-source programming language for statistical computing and data analysis. R typically includes a command-line interface. R is accessible on popular operating systems like Windows, Linux, and macOS. The newest cutting-edge technology is the R programming language.
Its development is presently being carried out by the R Development Core Team. It was created by Ross Ihaka and Robert Gentleman at the University of Auckland in New Zealand. An implementation of the S programming language is the R programming language. Additionally, it integrates with Scheme-inspired lexical scoping semantics. The project is also conceptualized in 1992; its initial version was delivered in 1995; and its stable beta version was released in 2000.
R is simpler to code in and understand since it shares many syntactical similarities with other widely used languages. Any of the frequently used IDEs, such as R Studio, Rattle, Tinn-R, etc., can be used to write R programs.
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⏰ Timestamps
0:00 Intro
3:52 Vectors
6:15 Lists
7:33 Data types
11:25 Dataframes
14:35 The structure of a Dataframe
15:28 Importing your data
19:55 Checking for NaNs
21:06 Checking columns
23:20 Subsetting vectors
32:08 Subsetting lists
36:08 Subsetting matrices
39:49 Subsetting dataframes
47:35 Functions and lapply
52:45 Loops
55:31 Outro
