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Beginning R : an introduction to statistical programming /
"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 boo...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[New York] :
Apress : Distributed to the Book trade worldwide by Springer Science+Business Media,
Ã2012.
|
| Colección: | Expert's voice in programming.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Pace, Larry, |d 1948- | |
| 245 | 1 | 0 | |a Beginning R : |b an introduction to statistical programming / |c Larry Pace. |
| 260 | |a [New York] : |b Apress : |b Distributed to the Book trade worldwide by Springer Science+Business Media, |c Ã2012. | ||
| 300 | |a 1 online resource (xxiv, 310 pages) : |b illustrations | ||
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| 490 | 1 | |a Expert's voice in programming | |
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed November 29, 2017). | |
| 520 | |a "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"--Page 4 of cover | ||
| 505 | 0 | |a 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. | |
| 546 | |a English. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a R (Computer program language) | |
| 650 | 0 | |a Statistics |x Data processing. | |
| 650 | 6 | |a R (Langage de programmation) | |
| 650 | 6 | |a Statistique |x Informatique. | |
| 650 | 7 | |a COMPUTERS |x Programming Languages |x General. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Mathematical & Statistical Software. |2 bisacsh | |
| 650 | 7 | |a R (Computer program language) |2 fast |0 (OCoLC)fst01086207 | |
| 650 | 7 | |a Statistics |x Data processing. |2 fast |0 (OCoLC)fst01132113 | |
| 776 | 0 | 8 | |i Printed edition: |z 9781430245544 |
| 830 | 0 | |a Expert's voice in programming. | |
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