R Projects For Dummies Front Cover

R Projects For Dummies

  • Length: 360 pages
  • Edition: 1
  • Publisher:
  • Publication Date: 2018-02-13
  • ISBN-10: 111944618X
  • ISBN-13: 9781119446187
  • Sales Rank: #326879 (See Top 100 Books)
Description

Make the most of R’s extensive toolset

R Projects For Dummies offers a unique learn-by-doing approach. You will increase the depth and breadth of your R skillset by completing a wide variety of projects. By using R’s graphics, interactive, and machine learning tools, you’ll learn to apply R’s extensive capabilities in an array of scenarios. The depth of the project experience is unmatched by any other content online or in print. And you just might increase your statistics knowledge along the way, too!

R is a free tool, and it’s the basis of a huge amount of work in data science. It’s taking the place of costly statistical software that sometimes takes a long time to learn. One reason is that you can use just a few R commands to create sophisticated analyses. Another is that easy-to-learn R graphics enable you make the results of those analyses available to a wide audience.

This book will help you sharpen your skills by applying them in the context of projects with R, including dashboards, image processing, data reduction, mapping, and more.

  • Appropriate for R users at all levels
  • Helps R programmers plan and complete their own projects
  • Focuses on R functions and packages
  • Shows how to carry out complex analyses by just entering a few commands

If you’re brand new to R or just want to brush up on your skills, R Projects For Dummies will help you complete your projects with ease.

Table of Contents

Part 1 The Tools of the Trade
Chapter 1 R: What It Does and How It Does It
Chapter 2 Working with Packages
Chapter 3 Getting Graphic

Part 2 Interacting with a User
Chapter 4 Working with a Browser
Chapter 5 Dashboards — How Dashing!

Part 3 Machine Learning
Chapter 6 Tools and Data for Machine Learning Projects
Chapter 7 Decisions, Decisions, Decisions
Chapter 8 Into the Forest, Randomly
Chapter 9 Support Your Local Vector
Chapter 10 K-Means Clustering
Chapter 11 Neural Networks

Part 4 Large(ish) Data Sets
Chapter 12 Exploring Marketing
Chapter 13 From the City That Never Sleeps

Part 5 Maps and Images
Chapter 14 All Over the Map
Chapter 15 Fun with Pictures

Part 6 The Part of Tens
Chapter 16 More Than Ten Packages for Your R Projects
Chapter 17 More than Ten Useful Resources

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