carnevalemanfredonia.it
» » The Essential R Reference

eBook The Essential R Reference download

by Mark Gardener

eBook The Essential R Reference download ISBN: 1118391411
Author: Mark Gardener
Publisher: Wiley; 1 edition (November 19, 2012)
Language: English
Pages: 576
ePub: 1232 kb
Fb2: 1144 kb
Rating: 4.9
Other formats: lrf doc lrf mbr
Category: Technologies
Subcategory: Programming

Dr. Mark Gardener is an ecologist, lecturer, and writer who discovered R while doing data analysis for his doctorate in ecology and evolutionary biology

Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading The Essential R Reference. Dr. Mark Gardener is an ecologist, lecturer, and writer who discovered R while doing data analysis for his doctorate in ecology and evolutionary biology. He conducts courses in R, ecology, and data analysis for a variety of organizations.

The only gripe I have is that the author does not dwell enough on each command. For example, he does not explain the difference between cat and the print command.

Mark Stephen Gardener (born 6 December 1969, in Oxford, England) is an English rock musician, and former singer .

Mark Stephen Gardener (born 6 December 1969, in Oxford, England) is an English rock musician, and former singer and guitarist with the shoegazing band, Ride.

Essential r reference. The Essential R Reference. This book is not a conventional textbook; it is intended as a reference work that you can delve into at any point

Essential r reference. Published by John Wiley & Sons, Inc. 10475 Crosspoint Boulevard Indianapolis, IN 46256 ww. iley. Published by John Wiley & Sons, In. Indianapolis, Indiana Published simultaneously in Canada. This book is not a conventional textbook; it is intended as a reference work that you can delve into at any point. This book is organized in a topic-led, logical manner so that you can look for the kind of task that you want to carry out in R and find the command you need to carry out that task as easily as pos-sible, even if you do not know the name of the command.

Covers getting, saving, examining, and manipulating data; statistical test and math; and all the things you can do with graphs. Also includes a collection of utilities that you'll find useful.

Finding books BookSee BookSee - Download books for free. Category: Programming, Engineering. 1. 6 Mb. 8 Mb.

Essential R Reference Gardener Mark Wiley 9781118391419 : An essential library of basic commands you can copy and paste into R The powerful and open-source statistical . Essential R Reference, Gardener Mark. Варианты приобретения.

Essential R Reference, Gardener Mark. Кол-во: о цене Наличие: Отсутствует. Возможна поставка под заказ. При оформлении заказа до: 13 сен 2019 Ориентировочная дата поставки: начало октября При условии наличия книги у поставщика.

Поиск книг Z-Library B–OK. Download books for free.

The Essential R Reference Published by John Wiley & Sons, Inc. Indianapolis, Indiana. Published simultaneously in Canada.

An essential library of basic commands you can copy and pasteinto R

The powerful and open-source statistical programming language Ris rapidly growing in popularity, but it requires that you type incommands at the keyboard rather than use a mouse, so you have tolearn the language of R. But there is a shortcut, and that's wherethis unique book comes in. A companion book to Visualize This:The FlowingData Guide to Design, Visualization, and Statistics,this practical reference is a library of basic R commands that youcan copy and paste into R to perform many types of statisticalanalyses.

Whether you're in technology, science, medicine, business, orengineering, you can quickly turn to your topic in this handy bookand find the commands you need.

Comprehensive command reference for the R programming languageand a companion book to Visualize This: The FlowingData Guide toDesign, Visualization, and StatisticsCombines elements of a dictionary, glossary, and thesaurus forthe R languageProvides easy accessibility to the commands you need, by topic,which you can cut and paste into R as neededCovers getting, saving, examining, and manipulating data;statistical test and math; and all the things you can do withgraphsAlso includes a collection of utilities that you'll finduseful

Simplify the complex statistical R programming language withThe Essential R Reference.

.
Comments: (4)
Winawel
The book is very poorly indexed, but does have the essentials for learning R. Its just a matter of navigating to the code that is a pain.
Funny duck
Didn't live up to the expectation. If you just looking for something that documents api's, your ok. If you looking for something to help you learn about the language or ecosystem, go elsewhere.
Bearus
This is a much needed book. R ihas become the defacto language for Statistical computing, and indeed for Mathematical computing.

There are several books on R. But they cover just one application.

This book differs from the other books in that it concentrates on providing a commentary on all R commands, which to my knowledge no other book does.

The only gripe I have is that the author does not dwell enough on each command. For example, he does not explain the difference between cat and the print command.

The price is reasonable compared to other books
Velan
I am surprised to see N. "Utterly Useless!" Vadulam give the book five stars, and surprised to see myself copying his "the book does not explain command X - one star!" style, but in this case an example will help.

R's "sample" function wants a vector of values to sample from - or a single positive integer, to sample from 1,2,...,N. R's doc ("?sample") says so, if only once, but gives an example of the second scenario and provides a little wrapper called "resample" to use if one does not like the default behavior. How does the book explain this little gotcha? See pp. 112-114. First, there is a section on "resample", having the doc's wrapper and the doc's example: the need for "resample" is attributed to "a computational quirk in the 'sample' command [which produces - DS] an unexpected result when a conditional sample is used". A section on "sample" proper follows, which does not mention the scalar-argument case at all.

What do you make of this case? In my opinion, the author did a copy-paste from the doc, but managed to confuse matters twice, by failing to explain the possible need for "resample" ("conditional sample" - what's that?), actually misrepresenting "sample" syntax, and putting "resample", not an R function, alongside and before "sample".

I get the thematically-clustered-list-of-functions approach, and would have appreciated an easy to hold and leaf through, well-indexed, compressed brochure, but this low-effort book is not it.

UPD. With the benefit of a little more life experience, I would say: don't spend your time on *any* R book. Python is the way to go.