R Statistics Cookbook

R Statistics Cookbook

Over 100 recipes for performing complex statistical operations with R 3.5


This eBook includes

Formats : PDF, EPUB, MOBI (Downlodable)

Pages : 448

ISBN : 9781789802924

Language : English

About the Book

Book description

Solve real-world statistical problems using the most popular R packages and techniques

Key Features

  • Learn how to apply statistical methods to your everyday research with handy recipes
  • Foster your analytical skills and interpret research across industries and business verticals
  • Perform t-tests, chi-squared tests, and regression analysis using modern statistical techniques

Book Description

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.

You'll start by implementing data modeling, data analysis, and machine learning to solve real-world problems. You'll then understand how to work with nonparametric methods, mixed effects models, and hidden Markov models. This book contains recipes that will guide you in performing univariate and multivariate hypothesis tests, several regression techniques, and using robust techniques to minimize the impact of outliers in data.You'll also learn how to use the caret package for performing machine learning in R. Furthermore, this book will help you understand how to interpret charts and plots to get insights for better decision making.

By the end of this book, you will be able to apply your skills to statistical computations using R 3.5. You will also become well-versed with a wide array of statistical techniques in R that are extensively used in the data science industry.

What you will learn

  • 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
  • Get to grips with robust statistics and hidden Markov models
  • Explore ANOVA (Analysis of Variance) and perform hypothesis testing

Who this book is for

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.

R Statistics Cookbook

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Author Details

Packt Publishing

Packt Publishing

Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.

Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.

As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.

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