R for Data Analytics
Preface
Part I
1 What is R?
2 R Data Types and Data Structures
3 R Programming - Short Introduction
- 3.1 Programming Control Flow
- 3.2 Functions in R
4 Data Exploration
5 Graphics in R (Part-I)
6 Graphics in R (Part-II)
Part II
7 Linear Regression
8 Multiple Regression
- 8.1 Fama-French Three Factor Model
9 Panel Regression
10 Technical Analysis using R
- 10.1 Technical Analysis (TA) using R
- 10.2 Technical Charts
11 Forecasting VaR using GARCH Models
12 Portfolio Modelling using R
Part III
13 Machine Learning using R-Introduction to Data Splitting, Sampling & Resampling
14 Logistic Regression & K-Nearest Neighbour (kNN) for Classification
15 Decision Trees using R
16 Text Mining using R
17 Work in Progress
References

R for Data Analytics

Topic 2 R Data Types and Data Structures

When human judgement and big data intersect there are some funny things that happen. -Nate Silver