Pro R
(Sprache: Englisch)
Pro R: A Professional Guide 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...
build and import data files, and write your own custom statistical functions. R is a powerful open-source implementation...
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Produktinformationen zu „Pro R “
Klappentext zu „Pro R “
Pro R: A Professional Guide 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 continuing to learn 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-availableR language for statistics
Shows the use of R in specific uses case such as simulations, discrete probability solutions, multivariate analysis, and several hypothesis tests
Takes a hands-on and example-based approach incorporating best practices with clear explanations of the statistics being done
Inhaltsverzeichnis zu „Pro R “
1. Getting and Programming in R2. Writing Reusable Functions
3. Using R for Descriptive Statistics
4. R Visualization
5. Discrete Probability Distributions and Computing Standard Normal Probabilities
6. Continuous Probability Distributions in R
7. Creating Confidence Intervals
8. Performing t Tests
9. Implementing One-Way and Advanced ANOVA
10. Simple Correlation and Regression in R
11. Multiple Correlation and Regression in R
12. Logistic Regression
13. Performing Chi-Square Tests
14. Working in Nonparametric Statistics
15. Using R for Simulation
16. Resampling and Bootstrapping
17. Creating R Packages
18. Executing R Packages
19. R Best Practices and Design Patterns
20. R as a Funcational Programming Language
21. R Case Study Capstone
22. R Testing and Debugging
23. Unit Testing with R: An Alternative
24. Advanced Tips and Tricks with R
Autoren-Porträt von Larry Pace
Dr. Larry Pace is a statistics author and educator, as well as a consultant. He lives in the upstate area of South Carolina in the town of Anderson. He is a professor of statistics, mathematics, psychology, management, and leadership. He has programmed in a variety of languages and scripting languages including R, Visual Basic, JavaScript, C##, PHP, APL, and in a long-ago world, Fortran IV. He writes books and tutorials on statistics, computers, and technology. He has also published many academic papers, and made dozens of presentations and lectures. He has consulted with Compaq Computers, AT&T, Xerox Corporation, the U.S. Navy, and International Paper. He has taught at Keiser University, Argosy University, Capella University, Ashford University, Anderson University (where he was the chair of the behavioral sciences department), Clemson University, Louisiana Tech University, LSU in Shreveport, the University of Tennessee, Cornell University, Rochester Institute of Technology, Rensselaer Polytechnic Institute, and the University of Georgia.
Bibliographische Angaben
- Autor: Larry Pace
- 2017, 1st ed., 450 Seiten, Maße: 17,8 x 25,4 cm, Kartoniert (TB), Englisch
- Verlag: APress
- ISBN-10: 1484200926
- ISBN-13: 9781484200926
- Erscheinungsdatum: 05.12.2017
Sprache:
Englisch
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