Data Manipulation with R (Use R!)
by Phil Spector
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Book Summary Information
Author: Phil SpectorEdition: Paperback
Audio: English (Unknown); English (Original Language); English (Published)
Published: 2008-03-19
ISBN: 0387747303
Number of pages: 164
Publisher: Springer
Book Reviews of Data Manipulation with R (Use R!)
Book Review: Useful code but disorganized
Summary: 3 Stars
I am neither a statistician nor a computer programmer yet I used statistics and programming on a daily basis and that is my perspective on this book. I am an ecologist with messy data with relational databases, missing data, dates etc. Most statisticians will already have more than a dollop of programming under their belts and will have a completely different experience with this book. I found the book disorganized with sections that should occur together in different sections or in the wrong order of how a user would approach a problem. For example, Chapter 3 goes over SQL coding but I wasn't sure what package we were supposed to be using or if this coding was used for all of them and, if so, what are the caveats to each. It would have been incredibly useful to discuss these three packages with strengths, weaknesses, and examples of each. It's great that there's code to use MySQL but it would have been useful to provide some information on the MySQL side so one could get going on queries without referring to yet another manual. Much of this information was redundant with other manuals that one should already have such as Introductory Statistics with R (Statistics and Computing), Modern Applied Statistics with S, and The R Book.
Summary of 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. 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.Databases Books
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