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R all-in-one for dummies / Joseph Schmuller.

by Schmuller, Joseph, author.

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Hoboken, New Jersey : John Wiley & Sons, Inc., [2023]

R (Computer program language)

Statistics -- Data processing.

9781119983699 (paperback) :

111998369X (paperback)

xvi, 668 pages : illustrations ; 24 cm

Introducing R. R: what it does and how it does it ; Working with packages, importing, and exporting -- Describing data. Getting graphic ; Finding your center ; Deviating from the average ; Meeting standards and standings ; Summarizing it all ; What's normal? -- Analyzing data. The confidence game: estimation ; One-sample hypothesis testing ; Two-sample hypothesis testing ; Testing more than two samples ; More complicated testing ; Regression: linear, multiple, and the general linear model ; Correlation: the rise and fall of relationships ; Curvilinear regression: when relationships get complicated ; In due time ; Non-parametric statistics ; Introducing probability ; Probability meets regression: logistic regression -- Learning from data. Tools and data for machine learning projects ; Decisions, decisions, decisions ; Into the forest, randomly ; Support your local vector ; K-means clustering ; Neural networks ; Exploring marketing ; From the city that never sleeps -- Harnessing R: some projects to keep you busy. Working with a browser ; Dashboards: how dashing!.

"A deep dive into the programming language of choice for statistics and data...With R All-in-One For Dummies, you get five mini-books in one, offering a complete and thorough resource on the R programming language and a road map for making sense of the sea of data we're all swimming in. Maybe you're pursuing a career in data science, maybe you're looking to infuse a little statistics know-how into your existing career, or maybe you're just R-curious. This book has your back. Along with providing an overview of coding in R and how to work with the language, this book delves into the types of projects and applications R programmers tend to tackle the most. You'll find coverage of statistical analysis, machine learning, and data management with R. Grasp the basics of the R programming language and write your first lines of code. Understand how R programmers use code to analyze data and perform statistical analysis. Use R to create data visualizations and machine learning programs. Work through sample projects to hone your R coding skill. This is an excellent all-in-one resource for beginning coders who'd like to move into the data space by knowing more about R."-- Provided by publisher.

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