Title Statements
- Full title :Statistical analysis with R / by Joseph Schmuller, PhD.
Summary
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!
Read More ↓Edition Statements
- Publication Date:©2017
Publication Statements
- Publisher(s):John Wiley & Sons
- Place of Publication:Hoboken, NJ
- Language:eng
- Publication Date:©2017
Notes
"Learning made easy"--Cover.
Includes resources and index.
The Physical Object
- Description:xiii, 438 pages : : illustrations ; : 24 cm.
Edition Identifiers
- ISBN:1119337062, 9781119337065
- oclc:ocn956395505
- LC Classification:QA276.45.R3
- Dewey Decimal:519.50285/513/3
Table of Contents
Getting started with statistical analysis with R -- Describing data -- Drawing conclusions from data -- Working with probability -- Part of tens.
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