Statistical Analysis with R for Dummies
ISBN: 1119337062
EAN13: 9781119337065
Language: English
Pages: 464
Dimensions: 1.00" H x 9.00" L x 7.00" W
Weight: 1.00 lbs.
Format: Paperback
Book Overview
Understanding the world of R programming and analysis has never been easier Most guides to R, whether books or online, focus on R functions and procedures. But now, thanks to Statistical Analysis with R For Dummies , you have access to a trusted, easy-to-follow guide that focuses on the foundational statistical concepts that R addresses--as well as step-by-step guidance that shows you exactly how to implement them using R programming. People are becoming more aware of R every day as major institutions are adopting it as a standard. Part of its appeal is that it's a free tool that's taking the place of costly statistical software packages that sometimes take an inordinate amount of time to learn. Plus, R enables a user to carry out complex statistical analyses by simply entering a few commands, making sophisticated analyses available and understandable to a wide audience. Statistical Analysis with R For Dummies enables you to perform these analyses and to fully understand their implications and results. Gets you up to speed on the #1 analytics/data science software tool Demonstrates how to easily find, download, and use cutting-edge community-reviewed methods in statistics and predictive modeling Shows you how R offers intel from leading researchers in data science, free of charge Provides information on using R Studio to work with R Get ready to use R to crunch and analyze your data--the fast and easy way
Editor Reviews
From the Back Cover Leverage R as a powerful statistical tool Test your hypotheses and draw conclusions Use R to give meaning to your data The easy, practical guide to R R is powerful, free software for statistical analysis--full of many tools and functions. R makes it possible to carry out complex statistical analyses by simply entering a few commands. This practical, step-by-step guide explains foundational statistical concepts and shows you how to implement them. You'll be able to perform analyses, understand their implications and results, and make them available to a wide audience. Inside... How data is evaluated Installing and setting up R Using R for graphing All about variations and deviations How to draw conclusions Working with regression Using non-parametric statistics Probability and distributions