Paul Teetor's The R Cookbook Reviewed By Manoj Rengarajan of Bookpleasures.com

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Manoj Rengarajan

**Reviewer Manoj
Rengarajan **holds a Master of Financial Engineering - University of
California, Berkeley and he works in the investment management
industry and specializes in providing economic and investment outlook
and strategy for global equity and government bond markets. He has an
educational background in financial engineering, business, and
engineering, and professional interests include business,
finance, economics, technology and related areas.

By Manoj Rengarajan

Published on April 21, 2011

Author: Paul Teetor

Publisher: O’Reilly

ISBN: 978-0-596-80915-7

Author: Paul Teetor

Publisher: O’Reilly

ISBN: 978-0-596-80915-7

Click Here To Purchase R Cookbook

Click Here To Purchase R Cookbook

Author: Paul Teetor

Publisher: O’Reilly

ISBN: 978-0-596-80915-7

Author: Paul Teetor

Publisher: O’Reilly

ISBN: 978-0-596-80915-7

Click Here To Purchase R Cookbook

The R Cookbook is aimed as
a task oriented collection of solutions to enhance the productivity
of a R user significantly. Getting started with R deals with
downloading and installing the R system with pointers on how to
efficiently navigate the R system. There are recipes on how to get
help from the system and how to effectively use the resources
available on the web.

With respect to the basics of the
language, the book starts with handling variables and working on
simple functions to set, list and deleting variables. Also, there are
tips on operations with vectors, computing basic statistics and
operator precedences and how to use functions.

Navigating the
R system deals with a set of fundamental tips for handling the R
workspace including setting and retrieving the working directory,
getting the command history, installing packages, running scripts and
batch scripts, and to work with environment variables. These tips are
useful not just for the beginner but also for the experienced user
who wants to use these features in a more professional
setting.

Input/ Output is one of the key bottlenecks for using
a programming language. The section on this key aspect gives an array
of examples from simple reading and writing to files to dealing with
error conditions, handling files with complex structures and how to
access databases such as MySQL from the R system.

Several
recipes for data structures support in R are illustrated with
commonly used operations in standard data structures such as vectors
and lists. Handling matrices and data frames are given their due
importance given the heavy use of these structures in R
programming.

Data manipulation is demonstrated in the context
of applying functions to a subset of a data structure. With many
users having a need to manipulate strings and dates, there is a set
of recipes which deal with handling strings and dates which most
readers should find very helpful.

The chapters on probability
and general statistics showcase the strength of the R statistical
system and how it can be used. Calculating probability of discrete
and continuous distributions, converting data to z-scores, testing
for normality, testing correlation for significance and other
commonly used statistical tests are demonstrated.

Linear
regression and ANOVA techniques are demonstrated with examples of
simple and multiple linear regression, and use of regression and
summary statistics.Commonly used operations for doing time series
analysis including creation and plotting, merge, filling, lagging,
moving averages, auto correlation and ARIMA modules are
covered.

Graphics is another key strengths of the R system.
The chapter on graphics shows how to use several commonly used charts
such as the scatter plot, bar charts, histograms, and how to chart a
function.

In the final part of the book, a set of very useful
tricks for analyzing data including visualization, row and column
handling, timing codes and suppressing warnings and error messages
are given which completes the wide array of tools the book touches
upon.

The R Cookbook lives up to the expectation of being a
practical recipe book for data analysis using the R system and more.
The range of recipes spans across most commonly and more advanced
level tasks that should appeal to both the beginner as well as the
more advanced user. The book should be a great resource for data
analysts who use R on a day to day basis.

Click Here To Purchase R Cookbook