Publication Date: June 25, 2012 ISBN-10: 1119962846 ISBN-13 :978-1119962847 Edition: 2
r near still trying to summarize your head?
Has more than 200 million users, R is an open source programming language for data analysis and statistical modeling standards. R is packed with powerful programming capabilities and learning to use R can be overwhelming, but in the real world, even the most experienced statisticians. This easy-to-follow guide describes how to use R for data processing and statistical analysis, and then tell you how to use the attractive display data and information graphics. You will get practical experience in a variety of settings to use R to delve more deeply into the R’s feature-rich toolset.
Including how the initial installation of R
Demonstrates how to easily calculate the vector, array and list data
Shows how to effectively use the R’s powerful graphics package data visualization
How to find, install and use the R community created package pointer
Tips to get more help from the R mailing list and website
Whether you are just beginning, for statistical analysis, a program or programming pro-R fool this book, you need to get the most effective of R.
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