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Learning RStudio for R Statistical Computing

You're reading from  Learning RStudio for R Statistical Computing

Product type Book
Published in Dec 2012
Publisher Packt
ISBN-13 9781782160601
Pages 126 pages
Edition 1st Edition
Languages
Concepts

About the Authors

Mark P.J. van der Loo obtained his PhD from the Institute for Theoretical Chemistry at the University of Nijmegen (The Netherlands). Since 2007 he has worked at the statistical methodology department of the Dutch official statistics office (Statistics Netherlands). His research interests include automated data cleaning methods and statistical computing. At Statistics Netherlands he is responsible for the local R center of expertise, which supports and educates users on statistical computing with R. Mark has been teaching R for several years and (co)authored a number of R packages that are available via CRAN: editrules, deducorrect, rspa, and extremevalues. A list of publications can be found at www.markvanderloo.eu.

Edwin de Jonge has worked for more than 15 years at the Dutch official statistics office (Statistics Netherlands). Having a background in theoretical and computational solid state physics (MSc.) he started working at the statistical computing department. Currently he works with the statistical methodology department. His research interests include data visualization, data analysis, and statistical computing. He has trained over 150 people in the workshop Graphical Analysis with R. Edwin has (co)authored several R packages that are available via CRAN: tabplot, tabplotd3, ffbase, whisker, editrules, and deducorrect.

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Learning RStudio for R Statistical Computing
Published in: Dec 2012 Publisher: Packt ISBN-13: 9781782160601
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