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Applied Econometrics Using the SAS System

studies can easily be analyzed using the SAS(R) system. In addition to addressing the computational aspects of econometric data analysis, the;

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SAS and R

between SAS and R using an easy-to-understand, dictionary-like approach. Retaining the same accessible format, SAS and R: Data Management;

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Producing High-Quality Figures Using SAS/Graph(r) and Ods Graphics Procedures

graphics formats and ODS document files. Each chapter includes practical examples and SAS programs. Readers can easily modify the SAS programs to;

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Producing High-Quality Figures Using SAS/GRAPH (R) and ODS Graphics Procedures

formats and ODS document files. Each chapter includes practical examples and SAS programs. Readers can easily modify the SAS programs to develop;

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SAS for R Users

BRIDGES THE GAP BETWEEN SAS AND R, ALLOWING USERS TRAINED IN ONE LANGUAGE TO EASILY LEARN THE OTHER SAS and R are widely-used, very;

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Systematic Data Analysis and Reporting

in scope, flexible in how it can be used, practical, and filled with dozens of examples using the SAS(R) System. By using the approach and;

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Big Data Analytics with SAS

how you can efficiently analyze Big Data using SAS. Style and approach The book starts off by introducing the reader to SAS and the SAS;

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Analyzing Health Data in R for SAS Users

Analyzing Health Data in R for SAS Users is aimed at helping health data analysts who use SAS accomplish some of the same tasks in R. It;

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R for SAS and SPSS Users

' differing approaches. The programs and practice datasets are available for download. The glossary defines over 50 R terms using SAS/SPSS jargon;

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R for SAS and SPSS Users

' differing approaches. The programs and practice datasets are available for download. The glossary defines over 50 R terms using SAS/SPSS jargon;

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Reading External Data Files Using SAS

, and you can easily copy, modify, and reuse them. Topics include understanding the different styles of SAS input, reading external files;

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Mastering SAS Programming for Data Warehousing

serving up data using SAS and explore how connecting SAS to other systems can enhance the data warehouse user's experience. By the end of this;

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A Handbook of Statistical Graphics Using SAS ODS

Using SAS ODS covers essential graphical methods needed in every statistician's toolkit. It explains how to implement the methods using SAS 9.4;

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A Handbook of Statistical Graphics Using SAS ODS

Using SAS ODS covers essential graphical methods needed in every statistician's toolkit. It explains how to implement the methods using SAS 9.4;

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SAS Programming for Enterprise Guide Users, Second Edition

New and updated for SAS Enterprise Guide 4.2! In this pragmatic, example-driven book, author Neil Constable demonstrates how you can use;

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Studying Complex Interactions and Outcomes Through Qualitative Comparative Analysis

. With a focus on social movement studies, it shows how QCA can be used to analyze a multiple data source database, that includes results from;

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Statistical Programming in SAS

Statistical Programming in SAS Second Edition provides a foundation for programming to implement statistical solutions using SAS, a system;

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Statistical Programming in SAS

Statistical Programming in SAS Second Edition provides a foundation for programming to implement statistical solutions using SAS, a system;

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Clinical Trial Data Analysis Using R and SAS

of biostatistical analyses of clinical trial data with step-by-step implementations using R and SAS. The book's practical, detailed approach draws on the;

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Clinical Trial Data Analysis Using R and SAS

analyses of clinical trial data with step-by-step implementations using R and SAS. The book's practical, detailed approach draws on the authors' 30;

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Applying Data Science

See how data science can answer the questions your business faces! Applying Data Science: Business Case Studies Using SAS, by Gerhard;

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SAS/Graph

. Written for the SAS programmer with experience using Base SAS to work with data, the book includes examples that can be used in a variety;

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Practical Business Analytics Using SAS

learning how to manipulate it. Besides illustrating SAS basic functions, you will see how each function can be used to get the information you need;

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Applied Plant Science Experimental Design and Statistical Analysis Using Sas(r) Ondemand for Academics

can be overwhelming. SAS (R) is the most widely used statistical software in the world and SAS (R) OnDemand for Academics is now freely;

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Applied Plant Science Experimental Design and Statistical Analysis Using SAS (R) OnDemand for Academics

can be overwhelming. SAS (R) is the most widely used statistical software in the world and SAS (R) OnDemand for Academics is now freely;

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Text Mining and Analysis

extensive set of case studies, so you can see examples of how the applications work with real-world data from a variety of industries. Text;

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