Beginning R : an introduction to statistical programming /

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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...

Ausführliche Beschreibung

Gespeichert in:
1. Verfasser:
Pace, Larry
Format:
Elektronisch E-Book
Sprache:
Englisch
Veröffentlicht:
[Berkeley, Calif.] : Apress, 2012.
Ausgabe:
1st ed. 2012.
Zusammenfassung:
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.
Umfang:
1 online resource (321 p.)
text file
Anmerkungen:
Includes index.
Anmerkungen:
English
ISBN:
9781430245551
1430245557
Schlagworte:
R (Computer program language)
Statistics > Data processing.
Bezugswerke:
Links: