Название: R in Hand: Basic data analysis and graphics with R
Автор: Vasanthakumar V., Gurusamy P.
Издательство: Amazon.com Services LLC
Год: 2021
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.1 MB

This Research description has been designed specifically for all categories of researchers which impressively explores the basic data analysis and graphics using R. This edition will satisfy the intensifying need for all social science research and researchers. It acts as an aid to the researcher to know When, Where, How to use the statistical tools in their applied research. It includes R script along with output example images and sample code files.

If you picked up this book, you almost certainly have some data that you simply got to collect, summarize, transform, explore, model, visualize, or present. If so, then R is for you! R has become the worldwide language for statistics, predictive analytics, and data visualization. It offers the widest range of methodologies for understanding data currently available, from the foremost basic to the foremost complex and bleeding edge. As an open source project, it’s freely available for a variety of platforms, including Windows, Mac OS X, and Linux. It’s under constant development, with new procedures added daily. Additionally, R is supported by an outsized and diverse community of knowledge scientists and programmers who gladly offer their help and advice to users.

Although R is perhaps best known for its ability to make beautiful and complicated graphs, it can handle almost any statistical problem. the bottom installation provides many data-management, statistical, and graphical functions out of the box. But a number of its most powerful features come from the thousands of extensions (packages) provided by contributing authors. This breadth comes at a price. It is often hard for brand spanking new users to urge a handle on what R is and what it can do. Even the foremost experienced R user is surprised to find out about features they were unaware of.

R in Hand, First Edition provides you with a guided introduction to R, supplying you with a 2,000-foot view of the platform and its capabilities. it'll introduce you to the foremost important functions within the base installation and quite useful contributed packages. Throughout the book, the goal is practical application—how you'll add up of your data and communicate that understanding to others. once you finish, you ought to have an honest grasp of how R works and what it can do and where you'll attend learn more. You’ll be ready to apply a spread of techniques for visualizing data, and you’ll have the talents to tackle basic data analytic problems.