Item Image
Title Beginning R : an introduction to statistical programming / Joshua F. Wiley, Larry A. Pace.
Author Wiley, Joshua F., author.
Publication [New York] : Apress, [2015]
Copyright date ©2015
Edition 2nd ed.
Description xxiii, 327 pages : illustrations ; 26 cm.
Call # 005.13 W
Series The expert's voice in programming
Expert's voice in programming.
Bibliography Includes bibliographical references and index
Summary 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. 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 advanced techniques.
Subject R (Computer program language)
Statistics -- Data processing.
R (Computer program language) (OCoLC)fst01086207
Statistics -- Data processing. (OCoLC)fst01132113
Addl. Author Pace, Larry A., author.
ISBN 1484203747

Location CALL # Status Message
 Central 2nd Fl - SST Non-Fiction  005.13 W    CHECK SHELVES