Intro

1. R: An Introduction
2. R: Data Types Tutorial
3. R: Intro to Statistics – Central Tendency
4. R: Create Functions in R
5. R: Loops – For, While, Repeat
6. R: seq() and rep()
7. R: Vector operations
8. R: Building Matrices
9. R: Matrix Operations
10. R: Working with lists
11. R: Converting Factors to Numbers
12. R: Working with Dataframes
13. R: Filter Dataframes
14. R: gsub
15. R: Graphing with matplot()
16. R: Installing Packages
17. R: Installing Packages with Dependencies
18. R: Intro to qplot()
19. R: Intro to ggplot()
20. R: ggplot – Histograms
21. R: ggplot using facets
22. R: Boxplot – comparing data
23. R: ANOVA (Analysis of Variance)
24. R: laply and ldply from plyr package
25. R: Manually entering data
26. R: Importing Excel Files
27. R: Connecting to SQL Server Database
28. R: Table() Function in R

Regression

1. R: Simple Linear Regression

Machine Learning

1. R: Decision Trees (Classification)
2. R: Decision Trees (Regression)
3. R: K-Means Clustering
4. R: K-Means Clustering- Deciding how many clusters

Text Analytics

1. R: Connect to Twitter with R
2. R: Twitter Sentiment Analysis
3. R: Creating a Word Cloud
4. R: Text Mining (Term Document Matrix)
5. R: Text Mining (Pre-processing)

R Shiny

1. R Shiny: Introduction

Reblogs from Other Authors

• If only love were so simple   – How to graph a heart using R from a fun site called Date By Number. I highly recommend checking it out.