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Statistical Analysis with R For Dummies Paperback – March 20 2017

by Joseph Schmuller (Author)
4.5 4.5 out of 5 stars 312 ratings
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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!

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Previous page
  1. ISBN-10
    9781119337065
  2. ISBN-13
    978-1119337065
  3. Edition
    1st
  4. Publisher
    For Dummies
  5. Publication date
    March 20 2017
  6. Language
    English
  7. Dimensions
    18.75 x 2.62 x 23.5 cm
  8. Print length
    464 pages
  9. See all details
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Product description

From the Inside Flap

  • 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

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

Product details

  • ASIN ‏ : ‎ 1119337062
  • Publisher ‏ : ‎ For Dummies; 1st edition (March 20 2017)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 464 pages
  • ISBN-10 ‏ : ‎ 9781119337065
  • ISBN-13 ‏ : ‎ 978-1119337065
  • Item weight ‏ : ‎ 1.05 kg
  • Dimensions ‏ : ‎ 18.75 x 2.62 x 23.5 cm
  • Customer Reviews:
    4.5 4.5 out of 5 stars 312 ratings

About the author

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Joseph Schmuller

Joseph Schmuller

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Customer reviews

4.5 out of 5 stars
4.5 out of 5
312 global ratings

Top reviews from Canada

JP
5.0 out of 5 stars Good book
Reviewed in Canada on December 3, 2019
Verified Purchase
You need some background on R. But really great book as a starting point in more complex analysis
One person found this helpful
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Mr. Susano B. Tanael
3.0 out of 5 stars ... have been a little more detailed consistent with "dummies" like me. Otherwise
Reviewed in Canada on July 11, 2018
Verified Purchase
The book could have been a little more detailed consistent with "dummies" like me. Otherwise, the book serve the purpose.
2 people found this helpful
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Pibbsworth Zwischenlanken
1.0 out of 5 stars index lists many items that are not actually in the book, probably due to an editorial oversight
Reviewed in Canada on April 3, 2020
This is a reasonable book for those who know basic parametric inferential statistics but want to learn how to use R to calculate those statistics. The book does not seem to cover any non-parametric applications or how to test for violations of assumptions of parametric tests.

I bought the book assuming that all the items listed in the INDEX were actually covered within the book. Imagine my surprise when I look up the Wilcoxon Rank Sum Test to find it references not a traditional page number, but instead "B2-B5." While the majority of the items listed in the Index are covered in the book, in the first three pages of the index I count 14 items which do not have page numbers, but instead some cryptic combination of letters and numbers. I guess Wiley is too cheap to pay someone to proof-read their index? I thought that perhaps these cryptic combinations in lieu of page numbers might refer to text boxes in the book, but they do not appear to do so.

I suspect that the book was initially slated to have more material, and then the editors slashed it, but someone forgot to proof the galley copies. If this was the level of care taken to edit the book, I hesitate to think what else could be wrong in it.

Avoid this book.
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Cliente de Amazon
5.0 out of 5 stars An excellent book for introducing statistics and R
Reviewed in Mexico on November 13, 2020
Verified Purchase
It's a good book for introducing R and Statistics. It could be better if it had exercises along the chapters, but the explanations are easy to follow and understand.
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floren25
5.0 out of 5 stars Un texto muy inteligente para dummies
Reviewed in Spain on August 26, 2020
Verified Purchase
El libro es sobresalientemente didáctico. Te cuenta la trastienda matemática de los métodos estadísticos (como realizar un análisis de varianza, por ejemplo) y a continuación te muestra la magia de R, que con una sola línea de código te permite llegar al resultado que se alcanzaría tras una larga serie de operaciones matemáticas (nada amedrentadoras, eso sí, pero muy tediosas). Yo aprendí los rudimentos de la estadística de la manera fatigosa, llevando a cabo con paciencia benedictina todas esas operaciones de cálculo, de modo que estoy en condiciones de apreciar las bendiciones de R (y de otros programas de software estadístico).
Schmuller también se ocupa de enseñarte con detenimiento el manejo de las herramientas gráficas de R, tanto las tradicionales como las de ggplot2. Otro detalle de interés es que dedica al menos un capítulo al tema de la Probabilidad, un asunto bastante descuidado y preterido tanto en los manuales como en los cursos de R.
Sólo tengo una actitud ambivalente ante un detalle: a diferencia de otros libros de esta naturaleza, el autor no te suministra el código mediante una conexión a una página web, sino que está escrito todo él en la obra misma. El código tiene algunos deslices (no muchos, pero algunos tiene). Si a ellos sumamos los deslices que yo misma he cometido al escribir el código en el editor de RStudio, la consecuencia es que la lectura se ha hecho más larga y pedregosa de lo esperado. La parte buena de todo esto es que te obliga a tener más ojos que Argos y prestar mucha atención para escribir correctamente los comandos de R.
En conjunto, lo considero el mejor libro, de los que llevo leídos hasta ahora, para aprender a la vez estadística y el manejo de R. Te conduce de la mano desde un nivel básico hasta uno intermedio (con una simulación Montecarlo incluida) pacíficamente, sin sobresaltos. He disfrutado la lectura.
3 people found this helpful
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Marco Polo Pretender
3.0 out of 5 stars OK, but not really great
Reviewed in Germany on August 8, 2020
Verified Purchase
The book is not bad, however it has here and there mistakes and it takes a lot of cursing, re-reading and beating on the table before you realize where they are, so that you can continue. The author comments on many topics and tries to explain almost everything, with the result that you sometimes lose yourself and the reading becomes a bit difficult. But make no mistake, this is still quite a decent book to start learning the topic and I would still rate it as useful. Not with the highest marks though.
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jack wilinsky
5.0 out of 5 stars Excellent treatment of statistical calculations in R
Reviewed in the United States on August 21, 2018
Verified Purchase
First of all, this is NOT a good book to learn R if you are a beginner. It assumes a basic knowledge of R but still goes through a lot of the basics. It does not attempt to teach a broad coverage of the language. For example, it has nothing on flow control, which makes sense since this deals with the statistical packages already in R so it doesn't cover how to actually write your own programs in R(if you want to do that, "R For Dummies" is an excellent introduction). So, this book sticks to what it is advertised to do: statistics. Does it cover an enormous amount of topics? No, after all, statistics is very vast. It covers such things as linear models, one and two way anova and contrasts in anova, for example. It doesn't cover topics in psychometry(which R can handle very nicely), like Cronbach's Alpha. So, this book is not encyclopedic, but you can see what it covers and what it doesn't before you buy it. No one source is going to give you everything in the R language. This book is an excellent source for what it does cover. Don't assume that just because it is part of the "For Dummies" series that it is super basic. There are many detailed, intricate books in the series. The series also includes many other books on R so, you might consider starting a collection!
One other good point with this book: it is very recent so it includes the use of R Studio(as well as how to install it) which makes using R a bit more pleasant.
19 people found this helpful
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Bill Greenhalf
5.0 out of 5 stars I wish this had been the first statistics book I ever read
Reviewed in the United Kingdom on December 28, 2019
Verified Purchase
I bought this book to learn R, believing that I had a good grounding in statistics, but no idea about the practicalities of using R.

In fact (as indeed the name suggests) this is much more about statistic than R. At first I even felt a little bit patronised, but after reading on a little that feeling was quickly replaced by a deep respect about how well simple and not so simple statistical concepts were explained. I admit I repeatedly found myself mouthing the words "Oh yes, that is why!".

My stats background was based on struggling through and memorising increasingly complex equations and learning rules. In contrast this book explains things from basic concepts so that the equations make total sense. I believe that if I had come to this book 30 years ago I would never have had to memorise the maths - it would all have become intuitive. I would add that R is also the perfect instrument to reinforce this bottom up approach.

I have no hesitation in awarding this 5 stars, although it has to be admitted that there are occasional gaffs where the numbers in tables and figures do not fit with the text (which you would have though an editor would have picked up upon). My final words have to be a quote from the for dummies series, which in this case is absolutely true:

"Learning made easy"
6 people found this helpful
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