Author: Phil Spector
Edition: 2008
Publisher: Springer
Binding: Paperback
ISBN: 0387747303
Data Manipulation with R (Use R!)
This book presents a wide array of methods applicable for reading data into R, and efficiently manipulating that data. Medical books Data Manipulation with R . In addition to the built-in functions, a number of readily available packages from CRAN (the Comprehensive R Archive Network) are also covered. All of the methods presented take advantage of the core features of R: vectorization, efficient use of subscripting, and the proper use of the varied functions in R that are provided for common data management tasks. Most experienced R users discover that, especially when working with large data sets, it may be helpful to use other programs, notably databases, in conjunction with R. Accordingly, the use of databases in R is covered in detail, along with methods for extracting data from spreadsheets and datasets created by other programs Medical books Data Manipulation with R. Categories: Statistics->Data processing, R (Computer program language). Contributors: Phil Spector - Author. Format: NOOK Study
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Categories: Statistics->Data processing, R (Computer program language). Contributors: Phil Spector - Author. Format: NOOK Study
Categories: R (Computer program language), Statistics->Data processing. Contributors: Phil Spector - Author. Format: Paperback
The Book Depository with availability on over a million titles Data Manipulation with R Description: Brand New Book with Free Worldwide Delivery. This book presents a wide array of methods applicable for reading data into R, and efficiently manipulating t
Data Manipulation with R : Paperback : Springer-Verlag New York Inc. : 9780387747309 : 0387747303 : 07 Apr 2008 : This book presents an array of methods applicable for reading data into R, and efficiently manipulating that data. In addition to the built-in functions, a number of readily available packages from CRAN (the Comprehensive R Archive Network) are also covered.
Medical Book Data Manipulation with R
In addition to the built-in functions, a number of readily available packages from CRAN (the Comprehensive R Archive Network) are also covered. All of the methods presented take advantage of the core features of R: vectorization, efficient use of subscripting, and the proper use of the varied functions in R that are provided for common data management tasks. Most experienced R users discover that, especially when working with large data sets, it may be helpful to use other programs, notably databases, in conjunction with R. Accordingly, the use of databases in R is covered in detail, along with methods for extracting data from spreadsheets and datasets created by other programs. Character manipulation, while sometimes overlooked within R, is also covered in detail, allowing problems that are traditionally solved by scripting languages to be carried out entirely within R. For users with experience in other languages, guidelines for the effective use of programming constructs like loops are provided. Since many statistical modeling and graphics functions need their data presented in a data frame, techniques for converting the output of commonly used functions to data frames are provided throughout the book.
