Larry Pace - Böcker

The costs of substance abuse in the workplace are staggering. Workplace substance abuse adversely affects shareholder, the workforce, customers, and society. The employee assistance program (EAP) has demonstrated its effectiveness in combating the many types of personal problems that impair work performance. EAPs come in many forms, but each costs money. Smits and Pace provide a practical guide to help corporate decision makers construct and fund an EAP tailored to their needs. To help insure a reasonable return on the corporation's EAP investment, the authors suggest linking it strategically to other human resource programs and operating it in a businesslike manner with performance objectives, measurement systems, and accountability for agreed-upon outcomes.The investment model organizes the book into three parts and concludes with an integrative case designed to help the reader apply the concepts presented in the first ten chapters. Part I, Making the Investment, focuses on needs, options, and investment levels. It encourages the reader to think about the EAP as part of a portfolio of human resource programs linked strategically to the organization's business strategy. Part II, Managing the Investment, examines the nuts and bolts of the implementation and operation of the EAP. Part III, Monitoring the Investment, advocates an EAP management information system to help improve EAP efficiency and tttttttveness, to assess the return on investment, and to help guide corporate decision makers when reinvesting in their EAP.

Beginning R: An Introduction to Statistical Programming is a hands-on book showing how to use the R language, write and save R scripts, build and import data files, and write your own custom statistical functions. R is a powerful open-source implementation of the statistical language S, which was developed by AT&T. R has eclipsed S and the commercially-available S-Plus language, and has become the de facto standard for doing, teaching, and learning computational statistics. R is both an object-oriented language and a functional language that is easy to learn, easy to use, and completely free. A large community of dedicated R users and programmers provides an excellent source of R code, functions, and data sets. R is also becoming adopted into commercial tools such as Oracle Database. Your investment in learning R is sure to pay off in the long term as R continues to grow into the go to language for statistical exploration and research. Covers the freely-available R language for statistics Shows the use of R in specific uses case such as simulations, discrete probability solutions, one-way ANOVA analysis, and more Takes a hands-on and example-based approach incorporating best practices with clear explanations of the statistics being done

R Recipes is your handy problem-solution reference for learning and using the popular R programming language for statistics and other numerical analysis. Packed with hundreds of code and visual recipes, this book helps you to quickly learn the fundamentals and explore the frontiers of programming, analyzing and using R. R Recipes provides textual and visual recipes for easy and productive templates for use and re-use in your day-to-day R programming and data analysis practice. Whether you're in finance, cloud computing, big or small data analytics, or other applied computational and data science - R Recipes should be a staple for your code reference library.