R Graphs Cookbook: Over 70 Recipes for Building and Customizing Publication-quality Visualizations of Powerful and Stunning R Graphs - Softcover

Abedin, Jaynal; Mittal, Hrishi V.

9781783988785: R Graphs Cookbook: Over 70 Recipes for Building and Customizing Publication-quality Visualizations of Powerful and Stunning R Graphs

Softcover

ISBN 10: 1783988789 ISBN 13: 9781783988785

Verlag: Packt Pub Ltd, 2014

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Rese�a del editor

Targeted at those with an existing familiarity with R programming, this practical guide will appeal directly to programmers interested in learning effective data visualization techniques with R and a wide-range of its associated libraries.

Biograf�a del autor

Jaynal Abedin currently holds the position of Senior Statistician at the Centre for Communicable Diseases (CCD) at icddr, b (www.icddrb.org). He attained his Bachelor's and Master's degrees in Statistics from University of Rajshahi, Rajshahi, Bangladesh. He has vast experience in R programming and Stata and has efficient leadership qualities. He has written an R package named edeR: Email Data Extraction Using R, which is available at CRAN (http://cran.r-project.org/web/packages/edeR/index.html). He is currently leading a team of statisticians. He has hands-on experience in developing training material and facilitating training in R programming and Stata along with statistical aspects in public health research. He has authored Data Manipulation with R, Packt Publishing, which got good reviews. His primary area of interest in research includes causal inference and machine learning. He is currently involved in several ongoing public health research projects and is a co-author of seven peer-reviewed scientific papers. Moreover, he engages in several work-in-progress manuscripts. He is also one of the reviewers of the following two journals: * Journal of Applied Statistics(JAS) * Journal of Health Population and Nutrition(JHPN) Hrishi V. Mittal has been working with R for a few years in different capacities. He was introduced to the exciting world of data analysis with R when he was working as a senior air quality scientist at King's College, London, where he used R extensively to analyze large amounts of air pollution and traffic data for London's Mayor's Air Quality Strategy. He has experience in various other programming languages but prefers R for data analysis and visualization. He is also actively involved in various R mailing lists, forums, and the development of some R packages.

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