R in Action, Second Edition. Data analysis and graphics with R. Robert I. Kabacoff. May ; ISBN ; pages; printed in black & white. R in Action has ratings and 20 reviews. Manny said: Mark said: I may not have every R book, but I definitely have too many of them. This may be my. SECOND EDITION. IN ACTION by Robert I. Kabacoff. Bonus chapter 23 graphics package included with R and specialized functions from author-contrib-.
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He has great sections on regression diagnostics, on ANOVA, general linear models, power analysis and missing values. Return to Book Page. The ets function and automated forecasting. R in Action, Second Edition combo added to cart. R is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task.
Using parallel box plots to compare groups. Jul 12, Jerrie Kumalah rated it it was amazing. Exporting data from R. Focusing on practical solutions, the book also offers a crash course in practical statistics and covers elegant methods for dealing with mess Summary R in Action is the first book to present both the R system and the use cases that make it such a compelling package for business developers.
Henrik Lindberg rated it it was amazing May 01, He has taught graduate courses in statistical programming and manages the Quick-R website atstatmethods. Also available is all code from the book. The book begins by introducing the R language, including the development environment. Choosing an appropriate effect size in novel situations.
Francesc Martori Adrian rated it really liked it Apr 23, The Best Books of Sep 22, Sam rated it liked it Shelves: Matrix Algebra in R. A data management challenge. Most aspects of the data extraction, manipulation and presentation are covered.
A crash course on terminology. Additional comments on permutation tests. Choosing a best predictive solution. Trivia About R in Action.
Hsu Foreword by Paul Ramsey. Adding text, customized axes, and legends.
Table of Contents takes you straight to the book detailed table of contents. Advanced methods for missing data Definitely more of a reference for all things statistical in R, but still very good. Focusing on realistic data analyses and a comprehensive integration of graphics, it follows kabavoff steps that real data analysts use to acquire their data, get it into shape, analyze it, and produce meaningful results that they kabwcoff provide to clients.
This makes R a great way to get meaningful information from mountains of raw data. Paperbackpages.
Creating the package documentation. Recoding values to missing. Exporting data from R. Bootstrapping a single statistic.
Advanced data management 5. When there are more than two groups. This is the book I will recommend to those who start one’s endeavour in R.
Part 1 Getting started
Kahacoff especially like his reminders about the underlying actikn and his frequent “how I do it” mention of the functions that he prefers from various packages. Aggregation and reshaping 5.
I firmly believe that it helps me to achieve my great data mining dream! The four graphics systems in R. About the book R in Action, Second Edition teaches you how to use the R language by presenting examples relevant to scientific, technical, and business developers. Goodreads helps you keep track of books you want to read. And R is so charmful which attracts me over those 7 days.
R in Action by Robert Kabacoff
Common sources of errors. Nathan Marz and James Warren. The book begins by introducing the R language, including the development environment. Good overview on the possibilities of R.
Also-I like the guy on the cover.