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SAS Viya : the R Perspective

Author: Yue Qi; Kevin D Smith; Xiangxiang Meng
Publisher: Cary, NC : SAS Institute, ©2018.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Learn how to access analytics from SAS Cloud Analytic Services (CAS) using R and the SAS Viya platform. SAS Viya : The R Perspective is a general-purpose introduction to using R with the SAS Viya platform. SAS Viya is a high-performance, fault-tolerant analytics architecture that can be deployed on both public and private cloud infrastructures. This book introduces an entirely new way of using SAS statistics from R,  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Qi, Yue.
SAS Viya : The R Perspective.
Cary, NC : SAS Institute, ©2018
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Yue Qi; Kevin D Smith; Xiangxiang Meng
ISBN: 9781635267037 163526703X 9781635267013 1635267013
OCLC Number: 1047951113
Notes: Includes index.
Description: 1 online resource (196 pages)
Contents: Intro; Contents; About This Book; What Does This Book Cover?; Is This Book for You?; What Are the Prerequisites for This Book?; What Should You Know about the Examples?; We Want to Hear from You; About These Authors; Chapter 1: Installing R, SAS SWAT, and CAS; Introduction; Installing R; Installing SAS SWAT; Chapter 2: The Ten-Minute Guide to Using CAS from R; Loading SWAT and Getting Connected; Running CAS Actions; Loading Data; Executing Actions on CAS Tables; Data Visualization; Closing the Connection; Conclusion; Chapter 3: The Fundamentals of Using R with CAS; Connecting to CAS Running CAS ActionsDetails; Conclusion; Chapter 4: Managing Your Data in CAS; Overview; Getting Started with Caslibs and CAS Tables; Uploading Data Files to CAS Tables; Uploading Data from URLs to CAS Tables; Uploading Data from a data.frame to a CAS Table; Exporting CAS Tables to Other Formats; Managing Caslibs; Conclusion; Chapter 5: First Steps with the CASTable Object; First Steps with the CASTable Object; Conclusion; Chapter 6: Working with CAS Tables; Using CASTable Objects like a Data Frame; Sorting, Data Selection, and Iteration; Data Wrangling on the Fly; Conclusion Chapter 7: Data Exploration and Summary StatisticsOverview; Summarizing Continuous Variables; Summarizing Categorical Variables; Variable Transformation and Dimension Reduction; Conclusion; Chapter 8: Modeling Continuous Variables; Overview; Linear Regression; Extensions of Ordinary Linear Regression; Conclusion; References; Chapter 9: Modeling Categorical Variables; Overview; Logistic Regression; Decision Trees; Random Forests, Gradient Boosting, and Neural Networks; Conclusion; References; Chapter 10: Advanced Topics; Overview; Binary versus REST Interfaces; Result Processing Workflows Connecting to Existing SessionsCommunicating Securely; Conclusion; Index
Responsibility: Yue Qi, Kevin D. Smith, Xiangxiang Meng.

Abstract:

Learn how to access analytics from SAS Cloud Analytic Services (CAS) using R and the SAS Viya platform. SAS Viya : The R Perspective is a general-purpose introduction to using R with the SAS Viya platform. SAS Viya is a high-performance, fault-tolerant analytics architecture that can be deployed on both public and private cloud infrastructures. This book introduces an entirely new way of using SAS statistics from R, taking users step-by-step from installation and fundamentals to data exploration and modeling. SAS Viya is made up of multiple components. The central piece of this ecosystem is SA.

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