Computational Statistics with R

✍ Scribed by Marepalli B. Rao and C.R. Rao (Eds.)

• Publisher: Elsevier
• Year: 2014
• Tongue: English
• Leaves: 397
• Series: Handbook of Statistics 32
• Edition: 1
• Category: Library

✦ Synopsis

R is open source statistical computing software. Since the R core group was formed in 1997, R has been extended by a very large number of packages with extensive documentation along with examples freely available on the internet. It offers a large number of statistical and numerical methods and graphical tools and visualization of extraordinarily high quality. R was recently ranked in 14th place by the Transparent Language Popularity Index and 6th as a scripting language, after PHP, Python, and Perl. The book is designed so that it can be used right away by novices while appealing to experienced users as well. Each article begins with a data example that can be downloaded directly from the R website. Data analysis questions are articulated following the presentation of the data. The necessary R commands are spelled out and executed and the output is presented and discussed. Other examples of data sets with a different flavor and different set of commands but following the theme of the article are presented as well. Each chapter predents a hands-on-experience. R has superb graphical outlays and the book brings out the essentials in this arena. The end user can benefit immensely by applying the graphics to enhance research findings. The core statistical methodologies such as regression, survival analysis, and discrete data are all covered.

• Addresses data examples that can be downloaded directly from the R website
• No other source is needed to gain practical experience
• Focus on the essentials in graphical outlays

✦ Table of Contents

Content:
Series Page Page ii
Copyright Page iv
Contributors Page xiii
Preface Pages xv-xvii C.R. Rao, Marepalli B. Rao
Chapter 1 - Introduction to R Pages 1-48 Chaitra H. Nagaraja
Chapter 2 - R Graphics Pages 49-91 Deepayan Sarkar
Chapter 3 - Graphics Miscellanea Pages 93-142 Palash Mallick, Marepalli B. Rao
Chapter 4 - Matrix Algebra Topics in Statistics and Economics Using R Pages 143-176 Hrishikesh D. Vinod
Chapter 5 - Sample Size Calculations with R: Level 1 Pages 177-220 Marepalli B. Rao, Subramanyam Kasala
Chapter 6 - Sample Size Calculations with R: Level 2 Pages 221-255 Marepalli B. Rao, Hansen Bannerman-Thompson
Chapter 7 - Binomial Regression in R Pages 257-308 John Muschelli, Joshua Betz, Ravi Varadhan
Chapter 8 - Computing Tolerance Intervals and Regions Using R Pages 309-338 Derek S. Young
Chapter 9 - Modeling the Probability of Second Cancer in Controlled Clinical Trials Pages 339-356 Kao-Tai Tsai, Karl E. Peace
Chapter 10 - Bayesian Networks Pages 357-385 Marepalli B. Rao, C.R. Rao
Subject Index Pages 387-394

✦ Subjects

R (Computer program language);Mathematical statistics;Data processing;MATHEMATICS;Applied;MATHEMATICS;Probability & Statistics;General