Author: Paul Teetor, J D Long. Title: R Cookbook. The R language provides everything you need to do statistical work, but its structure can be difficult to master. Solutions range from basic tasks to input and output, general statistics, graphics, and linear regression.
Completely clean book in excellent condition. Ships next business day with USPS tracking. Great packing. n84
By Teetor, Paul. R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (O’reilly Cookbooks).
ISBN: 0596809158. Author: Teetor, Paul. R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (O’reilly Cookbooks). Condition: Used: Very Good. Qty Available: 2.
ISBN: 0596809158. Author: Teetor, Paul. R Cookbook (O’Reilly Cookbooks). Condition: Used: Very Good. Qty Available: 1.
Neural Information Processing: 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part V (Communications in Computer and Information Science, 1143) 1st ed. 2019 Edition ISBN-13: 978-3030368012, ISBN-10: 3030368017
Neural Information Processing: 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part V (Communications in Computer and Information Science, 1143) 1st ed. 2019 Edition ISBN-13: 978-3030368012, ISBN-10: 3030368017
ELEMENTARY STATISTICS USING EXCEL, 3RD EDITION (BOOK & -ROM) By Mario F. Triola – Hardcover *Excellent Condition*.
Elementary Statistics Using Excel [With CDROM] by Triola, Mario F. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less
The product is a new paperback or softback book titled “Algorithm Engineering” by authors Michael T. Goodrich and Roberto Tamassia. Published by Wiley & Sons, Incorporated, John in 2001, this textbook focuses on the subject areas of computer programming, algorithms, and mathematics. With a total of 720 pages, this book covers topics such as algorithm design, analysis, and internet examples, making it a valuable resource for students and professionals in the field of computer science.