R in Action: Data Analysis and Graphics with R
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R in Action: Data Analysis and Graphics with R
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Narrado por:
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Dale Ogden
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Rob Kabacoff
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De:
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Robert Kabacoff
Acerca de esta escucha
R in Action, Second Edition teaches you how to use the R language by presenting examples relevant to scientific, technical, and business developers. Focusing on practical solutions, the book offers a crash course in statistics, including elegant methods for dealing with messy and incomplete data. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on forecasting, data mining, and dynamic report writing.
About the technology:
Business pros and researchers thrive on data, and R speaks the language of data analysis. R is a powerful programming language for statistical computing. Unlike general-purpose tools, R provides thousands of modules for solving just about any data-crunching or presentation challenge you're likely to face. R runs on all important platforms and is used by thousands of major corporations and institutions worldwide.
This audiobook includes:
- Complete R language tutorial
- Using R to manage, analyze, and visualize data
- Techniques for debugging programs and creating packages
- OOP in R
- More than 160 graphs
About the author: Dr. Rob Kabacoff is a seasoned researcher and teacher who specializes in data analysis. He also maintains the popular Quick-R website.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
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De: William Sullivan
Lo que los oyentes dicen sobre R in Action: Data Analysis and Graphics with R
Calificaciones medias de los clientesReseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
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Total3 out of 5 stars
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Ejecución2 out of 5 stars
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Historia3 out of 5 stars
- Chris F.
- 12-14-18
Need the ebook or pdf
I was looking for something basic on R. As an audiobook this isn’t very well done. There are different voices (one American and another British). When edits were inserted they made no attempt to blend them with the original. Probably the most annoying thing is important examples from the book are skipped. This isn’t the end of the world since I retain more when I read+listen anyway; you can find the pdf for free on github.
Honestly you can find much better (and by now more up to date) training on R via video lecture but if like me you learn better by reading vs lecture then this book is ok.
Would would be ideal are audio versions of Hadley Wickham’s books, but this one seems to be the only R audio title available.
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