David Edmund Allen

This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics. It is specifically targeted towards undergraduate and graduate students. It provides beginner-level introduction to R using RStudio and reproducible research examples. It will enable students to use R for data cleaning, data visualization and quantitative model building using statistical methods like linear regression, econometrics (GARCH etc), Copulas, etc. Moreover, the book demonstrates latest research methods with applications featuring linear regression, quantile regression, panel regression, econometrics, dependence modelling, etc. using a range of data sets and examples.

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Contents:

• Introduction
• Data objects in R
• Data Handling in R
• R Programming and Control Flow
• Data Exploration
• Graphics in R
• Regression Analysis-I
• Regression Analysis-II
• Time Series Analysis
• Extreme Value Theory Modelling
• Introduction to Multivariate Analysis Using Copula

Readership: Undergraduate and graduate students who are interested in statistical software R and its applications.
Key Features:

• Written for beginner or intermediate R users
• Every method explained in the book has a detailed following example with tips and tricks
• Research based examples are included with the most widely used statistical and econometric applications such as linear regression, econometrics (GARCH etc)