Beginning R : An Introduction to Statistical Programming / Larry Pace.
Material type: TextSeries: Expert's voice in programmingPublisher: New York : Apress : [2012]Distributor: Distributed to the book trade worldwide by Springer Science+Business Media, [2012]Copyright date: ©2012Description: xxiv, 310 pages : illustrations ; 24 cmContent type:- text
- unmediated
- volume
- 9781430245544 (pbk.)
- 1430245549 (pbk.)
- 005.133 23 P.L.B.
- QA276.45.R3 P33 2012
Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
Books | Media and mass communication Library A2 | 005.133 P.L.B. | Available | E0000308 |
Includes bibliographical references and index.
Getting R and getting started -- Programming in R -- Writing reusable functions -- Summary statistics -- Creating tables and graphs -- Discrete probability distributions -- Computing normal probabilities -- Creating confidence intervals -- Performing t tests -- One-way analysis of variance -- Advanced analysis of variance -- Correlation and regression -- Multiple regression -- Logistic regression -- Chi-square tests -- Nonparametric tests -- Using R for simulation -- The "new" statistics: resampling and bootstrapping -- Making an R package -- The R Commander package.
"Beginning R: An Introduction to Statistical Programming shows you how to use this open-source language and take advantage of its extensive statistical and graphing capabilities. Indeed, R has become the de facto standard for doing, teaching, and learning computational statistics. With this book, you'll learn the language by using it right from the start--an approach giving valuable, firsthand experience"--P. [4] of cover.
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