Beginning R
- نوع فایل : کتاب
- زبان : انگلیسی
- نویسنده : Larry A. Pace
- چاپ و سال / کشور: 2012
- تعداد صفحه : 336
- شابک / ISBN : 1430245549
Description
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 statisticsShows the use of R in specific uses case such as simulations, discrete probability solutions, one-way ANOVA analysis, and moreTakes a hands-on and example-based approach incorporating best practices with clear explanations of the statistics being done
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 statisticsShows the use of R in specific uses case such as simulations, discrete probability solutions, one-way ANOVA analysis, and moreTakes a hands-on and example-based approach incorporating best practices with clear explanations of the statistics being done
