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R in a nutshell

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When professionals are faced with analyzing moderate-to-large data sets, tools like Excel do not have the power or flexibility. R was designed for these situations, with good graphical capabilities and a large, robust library of contributed packages. While most books on R are stiff and academic, this Nutshell guide offers a readable overview of R, and contains a reference for the most commonly used features.

Author(s): Joseph Adler, M.Eng
Edition: 2nd ed
Publisher: O'Reilly
Year: 2012

Language: English
Pages: xix, 699 : ill. ; 23 cm
City: Sebastopol, CA
Tags: Библиотека;Компьютерная литература;R;


Content: R BASICS. Getting and installing R --
The R user interface --
A short R tutorial --
R packages --
THE R LANGUAGE. An overview of the R language --
R syntax --
R objects --
Symbols and environments --
Functions --
Object-oriented programming --
WORKING WITH DATA. Saving, loading, and editing data --
Preparing data --
DATA VISUALIZATION. Graphics --
Lattice graphics --
ggplot2 --
STATISTICS WITH R. Analyzing data --
Probability distributions --
Statistical tests --
Power tests --
Regression models --
Classification models --
Machine learning --
Time series analysis --
ADDITIONAL TOPICS. Optimizing R programs --
Bioconductor --
R and Hadoop --
Appendix: R reference.
Abstract:
R is rapidly becoming the standard for developing statistical software, and R in a Nutshell provides a quick and practical way to learn this increasingly popular open source language and environment. Read more...