<b>Conquer the complexities of this open source statistical language</b><p>R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R
Beginning R: The Statistical Programming Language
โ Scribed by Mark Gardener
- Publisher
- Wrox
- Year
- 2
- Tongue
- English
- Leaves
- 507
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates in a user-friendly context. Both students and workers in fields that require extensive statistical analysis will find this book helpful as they learn to use R for simple summary statistics, hypothesis testing, creating graphs, regression, and much more. It covers formula notation, complex statistics, manipulating data and extracting components, and rudimentary programming.
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<b>Conquer the complexities of this open source statistical language</b><p>R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R
Conquer the complexities of this open source statistical language R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates
<p> <em>Beginning R: An Introduction to Statistical Programming</em> is a hands-on book showing how to use the R language, write and save R scripts, build and import data files, and write your own custom statistical functions. R is a powerful open-source implementation of the statistical language
"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,
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 -- Advanc