<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
โ Scribed by Larry Pace
- Publisher
- Apress
- Year
- 2
- Tongue
- English
- Leaves
- 323
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Beginning R: An Introduction to Statistical Programming 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 S, which was developed by AT&T. R has eclipsed S and the commercially-available S-Plus language, and has become the de facto standard for doing, teaching, and learning computational statistics.
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"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
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
Beginning R An Introduction to Statistical Programming 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 S, which was dev