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Beginning R
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Beginning R : An Introduction to Statistical Programming

Second Edition

Book Details

Format Paperback / Softback
ISBN-10 1484203747
ISBN-13 9781484203743
Edition Second Edition
Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint APress
Country of Manufacture GB
Country of Publication GB
Publication Date Oct 13th, 2015
Print length 327 Pages
Weight 666 grams
Dimensions 17.70 x 25.30 x 2.40 cms
Ksh 11,700.00
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Beginning R, Second Edition is a hands-on book showing howto use the R language, write and save R scripts, read in data files, and writecustom statistical functions as well as use built in functions.

Beginning R, Second Edition is a hands-on book showing howto use the R language, write and save R scripts, read in data files, and writecustom statistical functions as well as use built in functions. This book showsthe use of R in specific cases such as one-way ANOVA analysis, linear andlogistic regression, data visualization, parallel processing, bootstrapping,and more. It takes a hands-on, example-based approach incorporating bestpractices with clear explanations of the statistics being done. It has beencompletely re-written since the first edition to make use of the latestpackages and features in R version 3.

R is a powerful open-source language and programmingenvironment for statistics and has become the de facto standard for doing,teaching, and learning computational statistics.  R is both an object-oriented language and afunctional language that is easy to learn, easy to use, and completely free. Alarge community of dedicated R users and programmers provides an excellentsource of R code, functions, and data sets, with a constantly evolvingecosystem of packages providing new functionality for data analysis. R has alsobecome popular in commercial use at companies such as Microsoft, Google, andOracle. Your investment in learning R is sure to pay off in the long term as Rcontinues to grow into the go to language for data analysis and research.

What You Will Learn:

  • How to acquire and install R
  • Hot to import and export data and scripts
  • How to analyze data and generate graphics
  • How to program in R to write custom functions
  • Hot to use R for interactive statistical explorations
  • How to conduct bootstrapping and other advancedtechniques


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