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Viser: Hands-On Programming with R - Write Your Own Functions and Simulations
Hands-On Programming with R Vital Source e-bog
Garrett Grolemund
(2014)
Hands-On Programming with R Vital Source e-bog
Garrett Grolemund
Hands-On Programming with R
Write Your Own Functions and Simulations
Garrett Grolemund
(2014)
Sprog: Engelsk
Detaljer om varen
- 1. Udgave
- Vital Source searchable e-book (Reflowable pages): 250 sider
- Udgiver: O'Reilly Media, Inc (Juni 2014)
- ISBN: 9781449359102
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: -1 sider kan printes ad gangen
Copy: højest -1 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- 1. Udgave
- Vital Source searchable e-book (Fixed pages)
- Udgiver: O'Reilly Media, Inc
- ISBN: 9781449359010
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 10 sider kan printes ad gangen
Copy: højest 10 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- Paperback: 247 sider
- Udgiver: O'Reilly Media, Incorporated (August 2014)
- ISBN: 9781449359010
Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you'll learn how to load data, assemble and disassemble data objects, navigate R's environment system, write your own functions, and use all of R's programming tools.
RStudio Master Instructor Garrett Grolemund not only teaches you how to program, but also shows you how to get more from R than just visualizing and modeling data. You'll gain valuable programming skills and support your work as a data scientist at the same time.
- Work hands-on with three practical data analysis projects based on casino games
- Store, retrieve, and change data values in your computer's memory
- Write programs and simulations that outperform those written by typical R users
- Use R programming tools such as if else statements, for loops, and S3 classes
- Learn how to write lightning-fast vectorized R code
- Take advantage of R's package system and debugging tools
- Practice and apply R programming concepts as you learn them