Getting Started with SAS/AF and Frames


Book Description

This book provides an introduction to application development using SAS/AF and FRAME entries. Geared to the SAS/AF beginner, the instruction and examples can be used with SAS 8.1 through SAS.9. In just a few steps, you'll develop a graphical user interface and a multiple-window application. This primer is an ideal starting point for becoming a FRAME entry expert.




SAS Guide to Applications Development


Book Description

This book is intended both for business users who want to be able to design and develop applications quickly and for applications developers who want to develop customized, enterprise-wide applications. Discover how to develop applications using SAS/AF software, SAS/EIS software, or both. For example, you will learn how to develop graphical user interfaces with ready-made components, how to create custom components, how to enhance your applications using SAS Component Language (SCL), and how to deploy applications to other SAS users in your organization. The book also provides numerous tips for working in the SAS/AF and SAS/EIS application development environments.




R for SAS and SPSS Users


Book Description

R is a powerful and free software system for data analysis and graphics, with over 5,000 add-on packages available. This book introduces R using SAS and SPSS terms with which you are already familiar. It demonstrates which of the add-on packages are most like SAS and SPSS and compares them to R's built-in functions. It steps through over 30 programs written in all three packages, comparing and contrasting the packages' differing approaches. The programs and practice datasets are available for download. The glossary defines over 50 R terms using SAS/SPSS jargon and again using R jargon. The table of contents and the index allow you to find equivalent R functions by looking up both SAS statements and SPSS commands. When finished, you will be able to import data, manage and transform it, create publication quality graphics, and perform basic statistical analyses. This new edition has updated programming, an expanded index, and even more statistical methods covered in over 25 new sections.




SAS/AF User's Guide


Book Description

User's guide to the SAS-AF computer programme for data analysis in business or information processing applications, customized training programmes or help facilities - gives an introduction to the procedures and types of screen possibilities; covers information retrieval, data modification and programming, report, writing, statistical analysis, file handling.




News Framing Effects


Book Description

News Framing Effects is a guide to framing effects theory, one of the most prominent theories in media and communication science. Rooted in both psychology and sociology, framing effects theory describes the ability of news media to influence people’s attitudes and behaviors by subtle changes to how they report on an issue. The book gives expert commentary on this complex theoretical notion alongside practical instruction on how to apply it to research. The book’s structure mirrors the steps a scholar might take to design a framing study. The first chapter establishes a working definition of news framing effects theory. The following chapters focus on how to identify the independent variable (i.e., the "news frame") and the dependent variable (i.e., the "framing effect"). The book then considers the potential limits or enhancements of the proposed effects (i.e., the "moderators") and how framing effects might emerge (i.e., the "mediators"). Finally, it asks how strong these effects are likely to be. The final chapter considers news framing research in the light of a rapidly and fundamentally changing news and information market, in which technologies, platforms, and changing consumption patterns are forcing assumptions at the core of framing effects theory to be re-evaluated.







Base SAS 9.1.3 Procedures Guide


Book Description




Python for Data Analysis


Book Description

Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples




SAS Software


Book Description




Integrative Framing Analysis


Book Description

Much of framing scholarship focuses either exclusively on the analysis of words or of visuals. This book aims to address this gap by proposing a six-step approach to the analysis of verbal frames, visual frames and the interplay between them—an integrative framing analysis. This approach is then demonstrated through a study investigating the way words and visuals are used to frame people living with HIV/AIDS in various communication contexts: the news, public service announcements and special interest publications. This application of integrative framing analysis reveals differences between verbal frames and visual frames in the same messages, underscoring the importance of looking at these frames together.