**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. "R Projects For Dummiesfills a huge gap in the R community. Most guides to R, whether in books or online, focus on R functions and procedures. Written by enthusiastic R users who (understandably) want to discuss and describe R capabilities, they tend to give limited attention to the foundational statistical concepts that R addresses. This is the right time to publish this book because more people are becoming aware of R every day. It's a free tool, and it is the basis of a huge amount of work in data science. It's taking the place of costly statistical software packages that sometimes take an inordinate amount of time to learn. Major institutions are adopting R as a standard. One reason is that R enables a user to carry out complex analyses by just entering a few commands, thus making sophisticated analyses available to a wide audience. This book will allow readers to learn and sharpen skills by applying them in the context of projects with R, and the projects cover a wide range of very applicable topics - dashboards, image processing, data reduction, and mapping"--Publisher's description Part 1: The tools of the trade R: what it does and how it does it Working with packages Getting graphic Part 2: Interacting with a user Working with a browser Dashboards how dashing! Part 3: Machine learning Tools and data for machine-learning projects Decisions, decisions, decisions Into the forest, randomly Support your local vector K-means clustering Neural networks Part 4: Large(ish) data sets Exploring marketing From the city that never sleeps Part 5: Maps and images All over the map Fun with pictures Part 6: The part of tens More than ten packages for your R-projects More than ten useful resources. "Why spend weeks learning a complex, costly statistical software package? With the help of this book, you can quickly master R, the free data science toolkit that some of the world's top companies use. These projects give you hands-on experience in using R to create interactive applications, use machine learning methods, and process images. You'll learn the skills you'll need to work with R's extensive toolset and understand exactly how to apply R in projects you'll encounter on the job."--Page 4 of cover
