- Using R for Statistics

Using R for Statistics
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Using R for Statistics is published by on June 21, 2014. This book has 244 pages in English, ISBN-10 148420140X, ISBN-13 978-1484201404. PDF is available for download below.

Using R for Statistics will get you the answers to most of the problems you are likely to encounter when using a variety of statistics. This book 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.

What you’ll learn

  • How to apply statistical concepts using R and some R programming
  • How to work with data files, prepare and manipulate data, and combine and restructure datasets
  • How to summarize continuous and categorical variables
  • What is a probability distribution
  • How to create and customize plots
  • How to do hypothesis testing
  • How to build and use regression and linear models

Who this book is for

No prior knowledge of R or of programming is assumed, making this book ideal if you are more accustomed to using point-and-click style statistical packages. You should have some prior experience with statistics, however.




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