This is the code repository for R Statistics Cookbook, published by Packt.
Over 100 recipes for performing complex statistical operations with R 3.5
R is a popular programming language for developing statistical software. This book will be a useful guide to solving common and not-so-common challenges in statistics. With this book, you'll be equipped to confidently perform essential statistical procedures across your organization with the help of cutting-edge statistical tools.
This book covers the following exciting features:
- Become well versed with recipes that will help you interpret plots with R
- Formulate advanced statistical models in R to understand its concepts
- Perform Bayesian regression to predict models and input missing data
- Use time series analysis for modelling and forecasting temporal data
- Implement a range of regression techniques for efficient data modelling
If you feel this book is for you, get your copy today!
All of the code is organized into folders. For example, Chapter02.
The code will look like the following:
library(bbmle)
N <- 1000
xx <- rgamma(N, shape=20,rate=2)
Following is what you need for this book: If you are a quantitative researcher, statistician, data analyst, or data scientist looking to tackle various challenges in statistics, this book is what you need! Proficiency in R programming and basic knowledge of linear algebra is necessary to follow along the recipes covered in this book.
With the following software and hardware list you can run all code files present in the book (Chapter 1-15).
| Chapter | Software required | OS required |
|---|---|---|
| 1-10 | RStudio | Windows, Mac OS X, and Linux (Any) |
We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.
Francisco Juretig has worked for over a decade in a variety of industries such as retail, gambling and finance deploying data-science solutions. He has written several R packages, and is a frequent contributor to the open source community.
Click here if you have any feedback or suggestions.
If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.