Название: PROC FCMP User-Defined Functions: An Introduction to the SAS Function Compiler
Автор: Тrоу Маrtin Нughеs
Издательство: SAS Institute Inc.
Год: 2024
Страниц: 425
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

In PROC FCMP User-Defined Functions, readers are introduced to the SAS Function Compiler, which enables users to create user-defined functions and subroutines. These modular, callable software components complement the diverse array of SAS built-in functions and extend the SAS programming language, creating more building blocks for constructing future software! The book opens by introducing the role of functions in software design and explaining how functions improve software quality characteristics. It then moves on to basic PROC FCMP syntax, including how to define and call user-defined functions. Next, readers learn about the SAS array and hash object, the primary data structures leveraged by PROC FCMP, and how PROC FCMP can manipulate them behind the scenes. Finally, the Python Component Object is introduced, which facilitates the interoperability of SAS and Python. PROC FCMP runs Python functions natively inside a SAS wrapper, which allows open-source functions to be incorporated without needing to be rewritten in SAS. The Python language has become one of the most versatile, widely distributed programming languages in the world. Can I say that in a SAS book? Yes! Because the SAS Institute is not only aware of this success—they are capitalizing on it, as they continue their commitment to platform and software interoperability. The FCMP procedure helps facilitate the integration of Python and the SAS application through the Python Component Object, which enables Python functions to be executed inside user-defined SAS functions and subroutines.

Название: Data Analytics with SAS: Explore your data and get actionable insights with the power of SAS
Автор: Nishаnt Sidаnа
Издательство: BPB Publications
Год: 2024
Страниц: 312
Язык: английский
Формат: epub (true)
Размер: 23.3 MB

Analytics made easy with Base and Advance SAS. Data Analytics with SAS is an attempt to learn concepts of Data Analytics with SAS tool. Starting with the fundamentals, the book introduces you to SAS by explaining its architecture, components, libraries and graphical user interface. It then delves into abilities like manipulating and exploring data, where both basic and advanced techniques are covered. The book outlines concepts and functions for data manipulation. Data manipulation is important as without it, we cannot define data in a proper format. Moreover, data without a proper format and features cannot be used for further analysis. The book outlines concepts and functions of data exploration. Data exploration or Exploratory Data Analysis (EDA) is the first step in data analysis. It is a very critical step as it helps us get insights from data to understand past behaviors. To facilitate a practical learning experience with SAS, the book offers examples and code snippets. In conclusion, this comprehensive guidebook serves as a valuable resource for individuals interested in data analytics using SAS. It caters to both novices and seasoned users alike while preparing them for roles, within the field of Data Analytics.

Название: Data Science and Machine Learning for Non-Programmers: Using SAS Enterprise Miner
Автор: Dоthаng Тruоng
Издательство: CRC Press
Год: 2024
Страниц: 590
Язык: английский
Формат: pdf (true)
Размер: 35.9 MB

As data continues to grow exponentially, knowledge of Data Science and Machine Learning has become more crucial than ever. Machine Learning has grown exponentially; however, the abundance of resources can be overwhelming, making it challenging for new learners. This book aims to address this disparity and cater to learners from various non-technical fields, enabling them to utilize Machine Learning effectively. Adopting a hands-on approach, readers are guided through practical implementations using real datasets and SAS Enterprise Miner, a user-friendly data mining software that requires no programming. Throughout the chapters, two large datasets are used consistently, allowing readers to practice all stages of the data mining process within a cohesive project framework. This book also provides specific guidelines and examples on presenting data mining results and reports, enhancing effective communication with stakeholders. The book begins with Part I, introducing the core concepts of data science, data mining, and Machine Learning. My aim is to present these principles without overwhelming readers with complex math, empowering them to comprehend the underlying mechanisms of various algorithms and models. This foundational knowledge will enable readers to make informed choices when selecting the right tool for specific problems. In Part II, I focus on the most popular Machine Learning algorithms, including regression methods, decision trees, neural networks, ensemble modeling, principal component analysis, and cluster analysis.

Название: Models for Multi-State Survival data: Rates, Risks, and Pseudo-Values
Автор: Реr Кrаgh Аndеrsеn, Неnrik Rаvn
Издательство: CRC Press
Серия: Texts in Statistical Science Series
Год: 2023
Страниц: 293
Язык: английский
Формат: pdf (true)
Размер: 11.0 MB

Multi-state models provide a statistical framework for studying longitudinal data on subjects when focus is on the occurrence of events that the subjects may experience over time. They find application particularly in biostatistics, medicine, and public health. The book includes mathematical detail which can be skipped by readers more interested in the practical examples. It is aimed at biostatisticians and at readers with an interest in the topic having a more applied background, such as epidemiology. This book builds on several courses the authors have taught on the subject. Key · Intensity-based and marginal models. · Survival data, competing risks, illness-death models, recurrent events. · Includes a full chapter on pseudo-values. · Intuitive introductions and mathematical details. · Practical examples of event history data. · Exercises. Software code in R and SAS and the data used in the book can be found on the book’s webpage.

Название: Operations Research for Social Good: A Practitioner’s Introduction Using SAS and Python
Автор: Natalia Summerville, Rob Pratt
Издательство: SAS Institute Inc.
Год: 2023
Страниц: 156
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Advance your knowledge of operations research and social good! This book’s purpose is to showcase Operations Research (OR) methodologies to applications targeted to make this world a better place. This book also provides skills and practical examples to model and solve OR problems with both SAS and Python. Each use case is a real-life application that has been implemented and proven successful. We solve use cases with both SAS and Python, driving students to learn both programming languages to solve OR problems and giving professors flexibility to choose which technology to focus on in their classes. This book does not cover operations research theory or optimization algorithms. Instead, it focuses on problem modeling and formulation. Recent technological developments allow data analytics practitioners to solve large problems better and faster with state-of-the-art Artificial Intelligence (AI) tools.

Название: SAS Great Escapes Two: Six Untold Epic Escapes Made by World War Two Heroes
Автор: Damien Lewis
Издательство: Quercus
Год: 2023
Страниц: 246
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

SAS Great Escapes Two recounts the hitherto untold stories of six of the most dramatic and daring escapes executed by the world's most famous fighting force during WWII. From the very earliest SAS missions to the push into Nazi-occupied Europe, they cover some of the key figures in the Regiment, including its founder, David Stirling, plus other lesser-known heroes. With each story comes an edge-of-the-seat, rollercoaster ride in classic Damien Lewis fashion, as readers are plunged into the escapees' experiences - sharing their most terrifying yet inspiring moments. These stunning accounts of survival beggar belief, revealing nerve-racking bluff and deception, knife-edge encounters with enemy hunter forces hellbent on wreaking vengeance and murder, but also incredible acts of mercy and kindness from those who risk all to help the escapees on their way. Each tale of breath-taking derring-do reveals how necessity really is the mother of all invention, as with every step and at every juncture these fugitives defied fate, snatching survival and freedom from the jaws of the enemy, and all the horrors that would have followed capture.

Название: Building Regression Models with SAS: A Guide for Data Scientists
Автор: Robert N. Rodriguez
Издательство: SAS Institute Inc.
Год: 2023
Страниц: 464
Язык: английский
Формат: pdf (true)
Размер: 17.7 MB

Advance your skills in building predictive models with SAS! Building Regression Models with SAS: A Guide for Data Scientists teaches data scientists, statisticians, and other analysts who use SAS to train regression models for prediction with large, complex data. Each chapter focuses on a particular model and includes a high-level overview, followed by basic concepts, essential syntax, and examples using new procedures in both SAS/STAT and SAS Viya. Machine Learning has created a new divide for the practice of statistics, which relies heavily on data from well-designed studies for modeling and inference. Statistical methods now vie with algorithms that learn from large amounts of observational data. This book assumes you know the basics of regression analysis. It uses standard matrix notation for regression models but explains the concepts and methods behind the procedures without mathematical derivations. For readers who want to dive into the technical aspects of concepts and algorithms, explanations are given in appendices which use calculus and linear algebra at the level expected by master of science programs in Data Science and statistics.

Название: Practitioner's Guide to Operationalizing Data Governance
Автор: Mary Anne Hopper
Издательство: Wiley
Год: 2023
Страниц: 240
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Discover what does—and doesn't—work when designing and building a data governance program. In A Practitioner's Guide to Operationalizing Data Governance, veteran SAS and data management expert Mary Anne Hopper walks readers through the planning, design, operationalization, and maintenance of an effective data governance program. She explores the most common challenges organizations face during and after program development and offers sound, hands-on advice to meet tackle those problems head-on. This book guides you through practical steps in applying Data Governance concepts to solve business problems by adopting a disciplined approach to Data Management methods. The chapters cover prioritization, alignment of Data Governance and Data Management, organizational structures, defining roles and responsibilities, communications, measurements, operations, implementation, and policies. All of the examples presented are not conceptual; they are real?world customer examples that can be applied to your specific organization.

Название: The SAS in Occupied France: 2 SAS Operations, June to October 1944
Автор: Gаvin Моrtimеr
Издательство: Pen and Sword Military
Год: 2023
Страниц: 192
Язык: английский
Формат: epub
Размер: 23.1 MB

In the world of military history there is no brand as potent as that of the SAS. They burst into global prominence in 1980 with their spectacular storming of the Iranian Embassy, and there have been hundreds of books, films, documentaries and even reality TV shows about them. But what there hasn't been is a guide to the scenes of some of their most famous Second World War operations. That is why Gavin Mortimer’s vivid two-volume account of their daring missions in German-occupied France in 1944 is such compelling reading. SAS actions in France delayed German reinforcements reaching the battlefront in Normandy, later sewing confusion among the Germans as they withdrew. The SAS trained the French Maquis and helped to turn them from an indisciplined rabble into an effective fighting force. Their exploits inflicted heavy casualties on the Germans, and they left a trail of destruction and disorder in their wake.

Название: Categorical Data Analysis for the Behavioral and Social Sciences, 2nd Edition
Автор: Razia Azen, Cindy M. Walker
Издательство: Routledge
Год: 2021
Страниц: 327
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Featuring a practical approach with numerous examples, the second edition of Categorical Data Analysis for the Behavioral and Social Sciences focuses on helping the reader develop a conceptual understanding of categorical methods, making it a much more accessible text than others on the market. The authors cover common categorical analysis methods and emphasize specific research questions that can be addressed by each analytic procedure, including how to obtain results using SPSS, SAS, and R, so that readers are able to address the research questions they wish to answer.