- We will send in 10–14 business days.
/images/books/9687072/9781430245544.jpg)
- Author: Larry Pace
- Publisher: Apress
- ISBN-10: 1430245549
- ISBN-13: 9781430245544
- Format: 19.1 x 23.5 x 1.8 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
Reviews
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 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
EXTRA 10 % discount with code: EXTRA
The promotion ends in 18d.02:10:49
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Larry Pace
- Publisher: Apress
- ISBN-10: 1430245549
- ISBN-13: 9781430245544
- Format: 19.1 x 23.5 x 1.8 cm, softcover
- Language: English English
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
Reviews