Why learn R? Because it's rapidly becoming the standard for developing statistical software. R in a Nutshell provides a quick and practical way to learn this increasingly popular open source language and environment. You'll not only learn how to program in R, but also how to find the right user-contributed R packages for statistical modeling, visualization, and bioinformatics.
The author introduces you to the R environment, including the R graphical user interface and console, and takes you through the fundamentals of the object-oriented R language. Then, through a variety of practical examples from medicine, business, and sports, you'll learn how you can use this remarkable tool to solve your own data analysis problems.
- Understand the basics of the language, including the nature of R objects
- Learn how to write R functions and build your own packages
- Work with data through visualization, statistical analysis, and other methods
- Explore the wealth of packages contributed by the R community
- Become familiar with the lattice graphics package for high-level data visualization
- Learn about bioinformatics packages provided by Bioconductor
"I am excited about this book. R in a Nutshell is a great introduction to R, as well as a comprehensive reference for using R in data analytics and visualization. Adler provides 'real world' examples, practical advice, and scripts, making it accessible to anyone working with data, not just professional statisticians."
The author introduces you to the R environment, including the R graphical user interface and console, and takes you through the fundamentals of the object-oriented R language. Then, through a variety of practical examples from medicine, business, and sports, you'll learn how you can use this remarkable tool to solve your own data analysis problems.
- Understand the basics of the language, including the nature of R objects
- Learn how to write R functions and build your own packages
- Work with data through visualization, statistical analysis, and other methods
- Explore the wealth of packages contributed by the R community
- Become familiar with the lattice graphics package for high-level data visualization
- Learn about bioinformatics packages provided by Bioconductor
"I am excited about this book. R in a Nutshell is a great introduction to R, as well as a comprehensive reference for using R in data analytics and visualization. Adler provides 'real world' examples, practical advice, and scripts, making it accessible to anyone working with data, not just professional statisticians."
"Ein absolutes "Muss". Klar gegliedert und anhand verständlicher Beispiele wird R und seine Funktionalität erklärt.Geeignet sowohl als Nachschlagwerk, als auch als Lernunterlage um sich R anzueignen. Dieses Buch wird ganz sicher den Grundstein jeder R Anwender (Anfänger und Fortgeschrittene) Bibliothek bilden." -- PHP-Nuke.de, August 2010
Lesen Sie die ausführliche Rezension unter: http://php-nuke.de/index.php?option=com_content&view=article&id=16&Itemid=9
"[Joseph] Adler (and O'Reilly) have succeeded with this first R title which can serve simultaneously as a reference manual kept near one's workstation, an occasional refresher on some topics or even a first introduction for some readers. The range in examples is excellent, and the support via the corresponding package is to be commended. R in a Nutshell is a very useful resource for new and experienced R users alike." -- www.jstatsoft.org, April 2011
Lesen Sie die ausführliche Rezension unter: http://www.jstatsoft.org/v40/b01/paper
Lesen Sie die ausführliche Rezension unter: http://php-nuke.de/index.php?option=com_content&view=article&id=16&Itemid=9
"[Joseph] Adler (and O'Reilly) have succeeded with this first R title which can serve simultaneously as a reference manual kept near one's workstation, an occasional refresher on some topics or even a first introduction for some readers. The range in examples is excellent, and the support via the corresponding package is to be commended. R in a Nutshell is a very useful resource for new and experienced R users alike." -- www.jstatsoft.org, April 2011
Lesen Sie die ausführliche Rezension unter: http://www.jstatsoft.org/v40/b01/paper