Power User's Guide to R:BASE PDF Download
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Author: Alan Simpson
Publisher: Sybex
ISBN:
Category : Computers
Languages : en
Pages : 484
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Book Description
Author: Alan Simpson
Publisher: Sybex
ISBN:
Category : Computers
Languages : en
Pages : 484
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Book Description
Author: Jonathan Kamin
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 536
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Book Description
Author: Allen G. Taylor
Publisher: Prentice Hall
ISBN:
Category : Database management
Languages : en
Pages : 424
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Book Description
Author: Allen G. Taylor
Publisher:
ISBN:
Category : Data base management
Languages : en
Pages : 394
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Book Description
Author: Jonathan Kamin
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 376
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Book Description
Author: Richard Allen King
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 404
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Book Description
Author: Chris Van Buren
Publisher:
ISBN:
Category : Business
Languages : en
Pages : 596
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Book Description
For users who want to be productive in the shortest time possible, this structured, hands-on guide to integrated business computing covers word processing, spreadsheets, databases, telecommunications, macros and task integration. Examples and tips throughout.
Author: Douglas S. Stivison
Publisher: Sybex
ISBN: 9780895884145
Category : Computers
Languages : en
Pages : 420
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Book Description
Author: Antonia Stacy Jolles
Publisher: Sybex
ISBN:
Category : Aldus PageMaker
Languages : en
Pages : 328
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Book Description
Author: Douglas Luke
Publisher: Springer
ISBN: 3319238833
Category : Mathematics
Languages : en
Pages : 241
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Book Description
Presenting a comprehensive resource for the mastery of network analysis in R, the goal of Network Analysis with R is to introduce modern network analysis techniques in R to social, physical, and health scientists. The mathematical foundations of network analysis are emphasized in an accessible way and readers are guided through the basic steps of network studies: network conceptualization, data collection and management, network description, visualization, and building and testing statistical models of networks. As with all of the books in the Use R! series, each chapter contains extensive R code and detailed visualizations of datasets. Appendices will describe the R network packages and the datasets used in the book. An R package developed specifically for the book, available to readers on GitHub, contains relevant code and real-world network datasets as well.
