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Book synopsis

R is a popular and growing open source statistical analysis and graphics environment as well as a programming language and platform. If you need to use a variety of statistics, then Using R for Statistics will get you the answers to most of the problems you are likely to encounter.§§Using R for Statistics is a problem-solution primer for using R to set up your data, pose your problems and get answers using a wide array of statistical tests. The book walks you through R basics and how to use R to accomplish a wide variety statistical operations. You'll be able to navigate the R system, enter and import data, manipulate datasets, calculate summary statistics, create statistical plots and customize their appearance, perform hypothesis tests such as the t-tests and analyses of variance, and build regression models. Examples are built around actual datasets to simulate real-world solutions, and programming basics are explained to assist those who do not have a development background.§§After reading and using this guide, you'll be comfortable using and applying R to your specific statistical analyses or hypothesis tests. No prior knowledge of R or of programming is assumed, though you should have some experience with statistics.§§

Book details

Book category Books in English Computing & information technology Computer programming / software development Software Engineering

• Full title: Using R for Statistics
• Author: Sarah Stowell
• Language: English
• Binding: Paperback
• Number of pages: 244
• EAN: 9781484201404
• ISBN: 148420140X
• ID: 05259207
• Publisher: Apress
• Weight: 466 g
• Dimensions: 236 × 192 × 14 mm
• Date of publishing: 21. June 2014

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