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Beginning R An Introduction to Statistical Programming /
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 de...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berkeley, CA :
Apress : Imprint: Apress,
2012.
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| Edición: | 1st ed. 2012. |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 008 | 121204s2012 xxu| s |||| 0|eng d | ||
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| 024 | 7 | |a 10.1007/978-1-4302-4555-1 |2 doi | |
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| 100 | 1 | |a Pace, Larry. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Beginning R |h [electronic resource] : |b An Introduction to Statistical Programming / |c by Larry Pace. |
| 250 | |a 1st ed. 2012. | ||
| 264 | 1 | |a Berkeley, CA : |b Apress : |b Imprint: Apress, |c 2012. | |
| 300 | |a XXIV, 336 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 520 | |a 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. 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. R is also becoming adopted into commercial tools such as Oracle Database. 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 statistical exploration and research. Covers the freely-available R language for statistics Shows the use of R in specific uses case such as simulations, discrete probability solutions, one-way ANOVA analysis, and more Takes a hands-on and example-based approach incorporating best practices with clear explanations of the statistics being done. | ||
| 650 | 0 | |a Compilers (Computer programs). | |
| 650 | 0 | |a Computer software. | |
| 650 | 1 | 4 | |a Compilers and Interpreters. |
| 650 | 2 | 4 | |a Mathematical Software. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9781430245544 |
| 776 | 0 | 8 | |i Printed edition: |z 9781430245568 |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-1-4302-4555-1 |z Texto Completo |
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| 912 | |a ZDB-2-SXPC | ||
| 950 | |a Professional and Applied Computing (SpringerNature-12059) | ||
| 950 | |a Professional and Applied Computing (R0) (SpringerNature-43716) | ||