Learn R - Programming (YouTube Video Links)

Following is the youtube video links (or bookmark) for leaRning R listed as the learning resources. Each link has been provided with the video length (T-).  The naming contains name of the video - the channel's / creator's name. 

The list will be continuously updated. 

R_Intro  <- baseR 🏁

• Simulation in R - Roger Peng T- 14:51

1. Tidyverse✂️🧹

1.1 ggplot2

• Intro. ggplot - Hefin Rhys T- 1:17:24

1.2 dplyr

• dplyr - Roger Peng T- 15:30
• Manipulating and exploring data with dplyr - Heifn Rhys T- 26:06
• Dplyr Essentials - dataslice T- 11:20
  

2. Statistics 📊

3. Shiny ✨

• R Shiny Basics - Statistical Learning Group T- 30:11

4. R markdown 📁

5. Specifics 🏹

Machine Learning

* Into. mlr package- Hefin Rhys T- 24:06

6. Packages 📦

#TidyTuesday🎮

~More / Tips-Tricks 💡

See Also👀

• Free-resources-for-learning-r
• learn-r-programming-quick-guide

Learn R programming (Quick Guide - Blog Links)

Here are quick resources for Learning R programming (only BLOGs). Articles are from R-bloggers (or any other helpful sites) which collects articles from different sources, and are helpful in direct jump to the specific topic to be learned in R. The list will be updated from R-bloggers (or from other sources) as soon as I found the interesting topics, or topics which needs to be learned and mastered. All the links are as personal bookmarks.

Blog Articles:

~ How to install R and RStudio?

~ Data Types in R

~ Data Manipulation in R

~ A Beginner Guide to dplyr

       ~ Top 10 dplyr Functions

       ~ Hands on R and dplyr

1. Descriptive statistics in R: https://www.r-bloggers.com/2020/01/descriptive-statistics-in-r-2/
2. Test for normality in R: https://www.r-bloggers.com/2020/01/do-my-data-follow-a-normal-distribution-a-note-on-the-most-widely-used-distribution-and-how-to-test-for-normality-in-r-2/
3. Correlation coefficient and correlation test in R: https://www.r-bloggers.com/2020/05/correlation-coefficient-and-correlation-test-in-r-2/
4. Graphics in R with ggplot2: https://www.r-bloggers.com/2020/08/graphics-in-r-with-ggplot2-2
5. How to Add a Regression Line to a ggplot? https://www.r-bloggers.com/2021/01/how-to-add-a-regression-line-to-a-ggplot/
6. https://www.r-bloggers.com/2021/01/counting-missing-values-na-in-r-2/
7. k-means and hierarchical clustering: https://www.r-bloggers.com/2020/02/the-complete-guide-to-clustering-analysis-k-means-and-hierarchical-clustering-by-hand-and-in-r-2/
8. Chi-square test of independence in R: https://www.r-bloggers.com/2020/01/chi-square-test-of-independence-in-r-3/
9. RStudio addins: https://www.r-bloggers.com/2020/01/rstudio-addins-or-how-to-make-your-coding-life-easier-2/

ANOVA Series:

• ANOVA in R
• One-way ANOVA in R
• Anova – Type I/II/III SS explained
• ANOVA vs Multiple Comparisons
• ANOVA and Tukey’s test on R
• Linear Models, ANOVA, GLMs and Mixed-Effects models in R
• Raccoon | Ch 2.4 – 3-way Anova
• ExpDes: An R Package for ANOVA
  

Free Resources for Learning R (Programming)

  R is a popular and widely used programming language for statistical analysis. With various programming and statistical features and being absolutely free, its implications to every data science enthusiast and an academic are multiple. 

As a learner myself, I have tried collecting all the free resources for learning R programming language. By free, I meant it to be freely available (100% Free), accessible with the means of internet where the individual has no need to pay anything online. The current digital world luckily provides our wish to learn anything. For that; however, the time and dedication is the strong requirement for sure. More, the collection has to be well prepared ahead before beginning the learning journey.