Название: Statistical Analysis with R For Dummies, 2nd Edition
Автор: Joseph Schmuller
Издательство: For Dummies
Год: 2025
Страниц: 512
Язык: английский
Формат: epub
Размер: 10.1 MB

Simplify stats and learn how to graph, analyze, and interpret data the easy way.

Statistical Analysis with R For Dummies makes stats approachable by combining clear explanations with practical applications. You'll learn how to download and use R and RStudio—two free, open-source tools—to learn statistics concepts, create graphs, test hypotheses, and draw meaningful conclusions. Get started by learning the basics of statistics and R, calculate descriptive statistics, and use inferential statistics to test hypotheses. Then, visualize it all with graphs and charts. This Dummies guide is your well-marked path to sailing through statistics.

Developed specifically for statistical analysis, R is a computer language that implements many of the analytical tools statisticians have developed for decision-making. I wrote this book to show you how to use these tools in your work. R is a computer language — it’s a tool for doing the computation and number-crunching that set the stage for statistical analysis and decision-making. An important aspect of statistical analysis is to present the results in a comprehensible way. For this reason, graphics is a major component of R. Ross Ihaka and Robert Gentleman developed R in the 1990s at the University of Auckland, New Zealand. Supported by the Foundation for Statistical Computing, R is one of the most popular computer languages. RStudio is an open-source integrated development environment (IDE) for creating and running R code. It’s available in versions for Windows, Mac, and Linux. Although you don’t need an IDE in order to work with R, RStudio makes life much easier.

Get clear explanations of the basics of statistics and data analysis
Learn how to analyze and visualize data with R, step by step
Create charts, graphs, and summaries to interpret results
Explore hypothesis testing, and prediction techniques

This is the perfect introduction to R for students, professionals, and the stat-curious.