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25 Recipes for Getting Started with R
 
 

25 Recipes for Getting Started with R [Kindle Edition]

Paul Teetor
5.0 von 5 Sternen  Alle Rezensionen anzeigen (1 Kundenrezension)

Kindle-Preis: EUR 8,64 Inkl. MwSt. und kostenloser drahtloser Lieferung über Amazon Whispernet

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Taschenbuch EUR 14,90  

Produktbeschreibungen

Kurzbeschreibung

R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. This short, concise book provides beginners with a selection of how-to recipes to solve simple problems with R. Each solution gives you just what you need to know to use R for basic statistics, graphics, and regression.

You'll find recipes on reading data files, creating data frames, computing basic statistics, testing means and correlations, creating a scatter plot, performing simple linear regression, and many more. These solutions were selected from O'Reilly's R Cookbook, which contains more than 200 recipes for R that you'll find useful once you move beyond the basics.

Über den Autor und weitere Mitwirkende

Paul Teetor is a quantitative developer with Masters degrees in statistics and computer science. He specializes in analytics and software engineering for investment management, securities trading, and risk management. He works with hedge funds, market makers, and portfolio managers in the greater Chicago area.

Produktinformation

  • Format: Kindle Edition
  • Dateigröße: 501 KB
  • Seitenzahl der Print-Ausgabe: 62 Seiten
  • Gleichzeitige Verwendung von Geräten: Keine Einschränkung
  • Verlag: O'Reilly Media; Auflage: 1 (31. Januar 2011)
  • Verkauf durch: Amazon Media EU S.à r.l.
  • Sprache: Englisch
  • ASIN: B004LRPB7K
  • Text-to-Speech (Vorlesemodus): Aktiviert
  • X-Ray:
  • Durchschnittliche Kundenbewertung: 5.0 von 5 Sternen  Alle Rezensionen anzeigen (1 Kundenrezension)
  • Amazon Bestseller-Rang: #354.123 Bezahlt in Kindle-Shop (Siehe Top 100 Bezahlt in Kindle-Shop)

  •  Ist der Verkauf dieses Produkts für Sie nicht akzeptabel?

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1 von 1 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen start working with R ' gently way 26. Juli 2011
Von mko
Format:Taschenbuch
Simple, straight to the point, and nicely composed introduction to R. This is the first impression after you go briefly through all the chapters. I am not regular R user ' I use R periodically when I have to perform server log analysis. However I remember my first experience with R. It was quite painful to do such simple tasks as loading data from input files, printing loaded data, plotting basic charts not to mention more complex data analysis. Paul guides you through R basics and provides you with gentle introduction to R ' powerful tool (or language if you want to be strict) for statistical analysis of data. What you get here is a description of tasks that every beginner will perform ' sooner or later. Book guides your through all the steps from the installation process to complex data analysis. After reading this book chapter by chapter you will most probably notice something ' it wasn't that hard to start working with R after all. What I really like in Paul's approach is that examples are really, really simple and straightforward. No messing around, just plain, clear, simple examples ' very often single liners. But don't think that this is all about. After each solution there is a time for a deeper analysis of the problem. This is the place, where you get detailed explanation of what really happens when you execute given example. Great benefit of the book is that it covers really basic issues related to R programing and it covers them at fairly small number of pages. This way, you get the knowledge, while at the same time you don't get bored. Must have for R beginners.
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Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)
Amazon.com: 3.0 von 5 Sternen  2 Rezensionen
25 von 27 Kunden fanden die folgende Rezension hilfreich
1.0 von 5 Sternen $29 for 58 pages of another book? 11. März 2011
Von Optimistix - Veröffentlicht auf Amazon.com
Format:Taschenbuch
O'Reilly have published a lot of great books over the years, but this seems like a total rip-off! Not only is a price of $29 for 58 pages preposterous, what makes this totally ridiculous that as of today (March 11th, 2011), Amazon is offering this book, a 58-page excerpt from the same author's "R cookbook", for $29.39, while the latter is available for $28.78.

That's right - the 58 page excerpt costs a little more than the 436 page original. Go figure.
1 von 4 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen start working with R - gently way 26. Juli 2011
Von mko - Veröffentlicht auf Amazon.com
Format:Taschenbuch
Simple, straight to the point, and nicely composed introduction to R. This is the first impression after you go briefly through all the chapters. I am not regular R user - I use R periodically when I have to perform server log analysis. However I remember my first experience with R. It was quite painful to do such simple tasks as loading data from input files, printing loaded data, plotting basic charts not to mention more complex data analysis. Paul guides you through R basics and provides you with gentle introduction to R - powerful tool (or language if you want to be strict) for statistical analysis of data. What you get here is a description of tasks that every beginner will perform - sooner or later. Book guides your through all the steps from the installation process to complex data analysis. After reading this book chapter by chapter you will most probably notice something - it wasn't that hard to start working with R after all. What I really like in Paul's approach is that examples are really, really simple and straightforward. No messing around, just plain, clear, simple examples - very often single liners. But don't think that this is all about. After each solution there is a time for a deeper analysis of the problem. This is the place, where you get detailed explanation of what really happens when you execute given example. Great benefit of the book is that it covers really basic issues related to R programing and it covers them at fairly small number of pages. This way, you get the knowledge, while at the same time you don't get bored. Must have for R beginners.
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