The Day the Server Said Tweet!
Source category: Social Media and Networking
Author collections: William W. Viergever · Daniel Kuiper · Koen Vyverman
THE COMMUNITY ARCHIVE
SAS Conference Papers 2011Page 20
Indexed 2011 papers and presentations across the available conference sources. Each record retains the original author text and available material links.
968 papers · Showing 761–800
The easy way to include XML formatted data into your SAS reports
Source category: Application Development
The Essence of DATA Step Programming
Source category: Programming: Foundations and Fundamentals
Author collections: Arthur Li
The Evolution of Coding Technology
Source category: Data Handling
Author collections: Richard Davies
The Evolution of Coding Technology - Demonstration
Source category: Software Demonstrations
Author collections: Richard Davies
The FILENAME Statement: Interacting with the World Outside of SAS®
Source category: Beyond the Basics
Author collections: Chris Schacherer
The Final Frontier: A SAS® Approach to Data Envelopment Analysis
Source category: Operations Research
The Greatest Hits: ODS Essentials Every User Should Know
Source category: Reporting and Information Visualization
Author collections: Cynthia Zender
The Greatest Hits: ODS Essentials Every User Should Know
Source category: Application Development
Author collections: Cynthia Zender
The Illusion of Good Data, or How Not to Think of a Blue Elephant
Source category: Data Management
Author collections: Kim Truett
The Keys to the Kingdom: From Simple to Advanced Metadata Queries
Source category: Systems Architecture and Administration
Author collections: John Leveille
The Last Line
Source category: Coders' Corner
File inside source ZIP: CodersCorner.zip / CC04.Barrett.pdf
The publisher distributes this paper in a category ZIP inside the proceedings ZIP.
Author collections: Brandon Barrett · Binoy Varghese
The Link Within Demand Forecasting: Building a Foundation to Support the Vision of Enterprise Demand Forecasting
Source category: Retail
The Little Engine That Could: Using LIBNAME Engine Options to Enhance Data Transfers Between SAS® and Microsoft Excel Files
Source category: Coders' Corner
Author collections: William E Benjamin Jr
The Little Engine That Could: Using LIBNAME Engine Options to Enhance Data Transfers Between SAS® and Microsoft Excel Files
Source category: Coders' Corner
File inside source ZIP: CodersCorner.zip / CC13.Benjamin.pdf
The publisher distributes this paper in a category ZIP inside the proceedings ZIP.
Author collections: William E Benjamin Jr
The Many Uses of SQL Subqueries
Source category: Data Capture, validation, Manipulation and Integration
Author collections: Tasha Chapman
The Many Ways to Effectively Utilize Array Processing
Source category: Programming: Beyond the Basics
Author collections: Arthur Li
The Many Ways To Effectively Utilize Array Processing
Source category: Tutorials
Author collections: Arthur Li
The MEANS/SUMMARY Procedure: Doing More
Source category: Foundations and Fundamentals
The publisher lists this presentation without a PDF.
Author collections: Art Carpenter
The Nycomed outsourcing model - Data standardisation experience after three years
Source category: Management
The Path, The Whole Path, And Nothing But the Path, So Help Me Windows
Source category: Applications Development
Author collections: Arthur L. Carpenter
The Perfect Marriage: The SAS Output Delivery System (ODS) and Microsoft Office
Source category: Data Presentation
Author collections: Chevell T. Parker
The Perfect Marriage: The SAS® Output Delivery System (ODS) and Microsoft Office
Source category: SAS Presents
Author collections: Chevell Parker
The Perfect Marriage: The SAS® Output Delivery System (ODS) and Microsoft Office
Source category: Programming: Beyond the Basics
Author collections: Chevell Parker
The Power to Plot: Three Ways to Enhance SG Graphical Output
Source category: Coders' Corner
Author collections: Xiangxiang Meng
The RANDOM Statement and More: Moving On with PROC MCMC
Source category: Statistics and Data Analysis
Author collections: Fang Chen
The SAS® Hash Object: It®s Time to .find() Your Way Around
Source category: Hands-on Workshops
Author collections: Peter Eberhardt
The SAS® Magical Dictionary Tour
Source category: Beyond the Basics
File inside source ZIP: BeyondBasics.zip / BB09.Libeg.pdf
The publisher distributes this paper in a category ZIP inside the proceedings ZIP.
The Standard for the Exchange of Nonclinical Data (SEND): History and Basics
Source category: CDISC
Author collections: Fred Wood · Lou Ann Kramer
The Top 10 Head Scratchers: SAS® Log Messages That Prompt a Call to SAS Technical Support
Source category: Programming: Foundations and Fundamentals
Author collections: Kim Wilson
The Top 10 Head-Scratchers: SAS® Log Messages That Prompt a Call to SAS Technical Support
Source category: Potpourri
Author collections: Kim Wilson
The Trilogy on e-Mailing, Part 3: Handling e-Mail Attachments with SAS®
Source category: Coders' Corner
Author collections: Erik Tilanus
The Validator: A Macro to Validate Parameters
Source category: Applications Development
Author collections: Steven A. Wilson
The Way of the Semicolon or Three Things I Wish I Had Known Before I Ever Keyed One
Source category: Foundations and Fundamentals
Author collections: Patricia Hettinger
The Wonderful Wizard Of ODS – Using The EXCELXP Tagset Coupled With Proc Template, And Proc Report, To Twist Your World From Gray To All The Colors Of The Rainbow
Source category: Data Presentation
Author collections: Steven C. Black
There's Nothing Odious about ODS
Source category: Coders' Corner
Author collections: Aaron J. Rabushka
They’re Closing Down the Office in Kalamazoo and You’ve Been Tapped to Run Their In-house “Production” Reporting System, OH MY!
Source category: Beyond the Basics
This is how we do it: teaching SAS in the Cal Poly Statistics Department
Source category: Resources
Author collections: Rebecca Ottesen
This SAS® Program Says to Google, ""What's Up Doc?""
Source category: Coders' Corner
Author collections: Scott Davis
Those Confounded Interactions: Building and Interpreting a Model with Many Potential Confounders and Interactions
Source category: Statistics and Data Analysis
Author collections: David Pasta