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Beginning R : An Introduction to Statistical Programming

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

R is a powerful open-source language and programming environment for statistics and has become the de facto standard for doing, teaching, and learning computational statistics. R is both an object-oriented language and a functional language that is easy to learn, easy to use, and completely free. A large community of dedicated R users and programmers provides an excellent source of R code, functions, and data sets, with a constantly evolving ecosystem of packages providing new functionality for data analysis. R has also become popular in commercial use at companies such as Microsoft, Google, and Oracle. Your investment in learning R is sure to pay off in the long term as R continues to grow into the go to language for data analysis and research.

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Detail Information
Series Title
-
Call Number
005.1
Publisher
California : .,
Collation
XXIII, 327
Language
English
ISBN/ISSN
978-1-4842-0373-6
Classification
005.1
Content Type
-
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
Software
Specific Detail Info
-
Statement of Responsibility
Other Information
Cataloger
ratna
Source
https://link.springer.com/10.1007/978-1-4842-0373-6
Validator
-
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