Donato Teutonico - Instant R Starter
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Copyright 2013 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
First published: April 2013
Production Reference: 1170413
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78216-350-3
www.packtpub.com
Author
Donato Teutonico
Reviewers
Manjusha S. Joshi
Tengfei Yin
Acquisition Editor
Joanna Finchen
Commissioning Editor
Sharvari Tawde
Technical Editors
Chirag Jani
Devdutt Kulkarni
Veena Pagare
Copy Editor
Alfida Paiva
Project Coordinator
Sherin Padayatty
Proofreader
Paul Hindle
Production Coordinator
Manu Joseph
Cover Work
Manu Joseph
Cover Image
Conidon Miranda
Donato Teutonico has several years of experience in modeling and simulation of drug effects and clinical trials in industrial and academic settings. He received his PharmD degree from the University of Turin, Italy, with a specialization in Chemical and Pharmaceutical Technology, and received his Ph.D. in Pharmaceutical Sciences from the Paris-South University, France.
He is the author of two R packages for Pharmacometrics; CTStemplate and panels4Pharmacometrics; both are available on Google code.
A big thanks to my wife Raquel for all her support during the preparation of this book
Manjusha S. Joshi is a mathematician who studied at the University of Pune. She has worked as a Principal Investigator for the project Use of Open Source Software for Teaching Mathematics, supported by MHRD, Govt. of India, conducted at Bhaskaracharya Pratishthana, a research institute of Mathematics.
Manjusha is an open-source software enthusiast and is interested in promotion of open-source software for higher studies. She has conducted a few courses on R programming at the University of Pune and some other places.
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Welcome to Instant R Starter . This book has been created especially to provide you with all the information that you need to set up with R. You will learn the basics of R, get started with manipulation of R objects, write your own functions, and discover some tips and tricks for using R.
This document contains the following sections:
So, what is R? shows you what R actually is, what you can do with it, and why its so great.
Installation teaches you how to download and install R with a few easy steps and then set it up so that you can use it as soon as possible.
Quick start R language will make you familiar with the R language. You will learn how to create different objects (vectors, matrices, data frames) and you will see some practical examples of their manipulation and use.
Top 5 features you need to know about will teach you how to perform five tasks with the most important features of R. By the end of this section you will be able to perform data input and output in the system, use flow control and loops, write your own functions and debug them, and create basic plots.
People and places you should get to know provides you with many useful links to the projects page and forums, as well as a number of helpful guides, tutorials, blogs, and the Twitter feeds about R, as every open-source project is centered around a community of users.
R is a high-level language and environment for data analysis and visualization. It provides an environment in which you can perform statistical analysis and produce high-quality graphics. It is actually a complete programming language derived from the statistical programming language S. It has been developed and is maintained by a core of statistical programmers, with the support of a large community of users. It is most widely used for statistical computing and graphics, but is a fully functional programming language well suited for scientific programming, data management, and data visualization in general.
The interaction with the R system is mainly command-driven, with the user typing in text and asking R to execute the specific command. As soon as you start R, a session will be opened on which the commands may be introduced and the expression executed. Complex procedures can be implemented in the scripts, which are executed as soon as they are loaded into the system or, more efficiently, as functions, which can be loaded in the system and used when needed.
R can do a lot more than what a typical beginner can be expected to need. R also comes with extensive online help in text form as well as in HTML files. The help pages can be accessed via the Help section in the cascade menu or via the help.start() command on the console. You will notice that all the help pages present the same structure, and if they don't appear to be clear at a first glance, they contain all the main information you will need. Normally, all the functions as well as the datasets contained in the packages have their own specific help file. The easiest way to access such pages is to call the
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