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Farm Programs - - Bog - Nova Science Publishers Inc - Plusbog.dk

Farm Programs - - Bog - Nova Science Publishers Inc - Plusbog.dk

In light of high farm incomes and constrained federal budgets, the cost of federal farm and conservation programs, about $15 billion annually from 2009 through 2012, has come under scrutiny. Under the 2008 Farm Bill, participants whose incomes exceed specific limits are ineligible for certain program payments. The USDA''s Farm Service Agency (FSA) makes income eligibility determinations for programs it administers and also for conservation programs administered by the Natural Resources Conservation Service (NRCS). The FSA verifies that participants have incomes below the limits by reviewing either tax returns (with consent from participants) or statements from accountants or attorneys. The Government Accountability Office (GAO) was asked to review FSA''s income verification practices. Another concern has been the distribution of benefits to ineligible participants, including potentially improper payments to deceased individuals, which, as the GAO and others have reported, may call into question whether these farm safety net programs are benefiting the agricultural sector as intended. This book examines the FSA''s (1) review of tax returns and (2) review of accountants'' and attorneys'' statements and (3) FSA''s and NRCS''s recovery of payments to participants who exceeded income limits and (4) the extent to which procedures are in place to prevent the FSA and NRCS from making potentially improper payments to deceased individuals.

DKK 722.00
1

Female-Perpetrated Sex Abuse - Sherianne (lecturer In Psychology Kramer - Bog - Taylor & Francis Ltd - Plusbog.dk

Female-Perpetrated Sex Abuse - Sherianne (lecturer In Psychology Kramer - Bog - Taylor & Francis Ltd - Plusbog.dk

Female-Perpetrated Sex Abuse is a groundbreaking study into gender, sexuality and victimhood. It examines the cultural conditions of possibility for FSA victimhood as a means to advance contemporary critical understandings of the role of gender and sexuality as instruments of modern power. As the first direct exploration of FSA victimhood, this book analyses: - - why victims of FSA remain so underexplored and invisible as objects of human science knowledge; - - - the limited and overly rigid discourses in local and global psychological theory and practice that continues to treat particular subjects as ‘victim worthy’ through paradigms that construct victimhood as gendered; and - - - the possibility of new discourses that could disrupt normative understandings of gender, sexuality, and power in sex abuse, and as constitutive to the beginnings of a counter-knowledge on transgressive sexualities. - By tracing the historical and cultural conditions of the emergence of FSA broadly and FSA victimhood specifically, Kramer illustrates how deeply engrained constructions of gender and sexuality both produce and constrain the possibilities for reporting, disclosing and self-identifying victimhood. Female-Perpetrated Sex Abuse is essential reading for academics, researchers and students alike, in the areas of psychology, sociology, gender studies, criminology, counselling and social work.

DKK 422.00
1

Blue Cat - engelsk for ottende - Lars Skovhus - Bog - Gyldendal - Plusbog.dk

Financial Statement Analysis: A Data Analytics Approach ISE - Robert Resutek - Bog - McGraw-Hill Education - Plusbog.dk

Practical R 4 - Jon Westfall - Bog - APress - Plusbog.dk

Practical R 4 - Jon Westfall - Bog - APress - Plusbog.dk

Get started with an accelerated introduction to the R ecosystem, programming language, and tools including R script and RStudio. Utilizing many examples and projects, this book teaches you how to get data into R and how to work with that data using R. Once grounded in the fundamentals, the rest of Practical R 4 dives into specific projects and examples starting with running and analyzing a survey using R and LimeSurvey. Next, you''ll carry out advanced statistical analysis using R and MouselabWeb. Then, you''ll see how R can work for you without statistics, including how R can be used to automate data formatting, manipulation, reporting, and custom functions. The final part of this book discusses using R on a server; you''ll build a script with R that can run an RStudio Server and monitor a report source for changes to alert the user when something has changed. This project includes both regular email alerting and push notification. And, finally, you''ll use R to create a customized daily rundown report of a person''s most important information such as a weather report, daily calendar, to-do''s and more. This demonstrates how to automate such a process so that every morning, the user navigates to the same web page and gets the updated report. What You Will Learn Set up and run an R script, including installation on a new machine and downloading and configuring R Turn any machine into a powerful data analytics platform accessible from anywhere with RStudio Server Write basic R scripts and modify existing scripts to suit your own needs Create basic HTML reports in R, inserting information as needed Build a basic R package and distribute it Who This Book Is For Some prior exposure to statistics, programming, and maybe SAS is recommended but not required.

DKK 584.00
1

R for Programmers - Dan Zhang - Bog - Taylor & Francis Inc - Plusbog.dk

R for Programmers - Dan Zhang - Bog - Taylor & Francis Inc - Plusbog.dk

Unlike other books about R, written from the perspective of statistics, R for Programmers: Mastering the Tools is written from the perspective of programmers, providing a channel for programmers with expertise in other programming languages to quickly understand R. The contents are divided into four sections: The first section consists of the basics of R, which explains the advantages of using R, the installation of different versions of R, and the 12 frequently used packages of R. This will help you understand the tool packages, time series packages, and performance monitoring packages of R quickly. The second section discusses the server of R, which examines the communication between R and other programming languages and the application of R as servers. This will help you integrate R with other programming languages and implement the server application of R. The third section discusses databases and big data, which covers the communication between R and various databases, as well as R’s integration with Hadoop. This will help you integrate R with the underlying level of other databases and implement the processing of big data by R, based on Hadoop. The fourth section comprises the appendices, which introduce the installation of Java, various databases, and Hadoop. Because this is a reference book, there is no special sequence for reading all the chapters. You can choose the chapters in which you have an interest. If you are new to R, and you wish to master R comprehensively, simply follow the chapters in sequence.

DKK 625.00
1

Mastering R - - Bog - Taylor & Francis Ltd - Plusbog.dk

R in Action - Robert Kabacoff - Bog - Manning Publications - Plusbog.dk

R for Statistics - Maela Kloareg - Bog - Taylor & Francis Inc - Plusbog.dk

R for Statistics - Maela Kloareg - Bog - Taylor & Francis Inc - Plusbog.dk

Although there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. Published in 2008, the second edition of Statistiques avec R enjoyed great success as an R guidebook in the French-speaking world. Translated and updated, R for Statistics includes a number of expanded and additional worked examples. Organized into two sections, the book focuses first on the R software, then on the implementation of traditional statistical methods with R. Focusing on the R software, the first section covers: - - Basic elements of the R software and data processing - Clear, concise visualization of results, using simple and complex graphs - Programming basics: pre-defined and user-created functions - The second section of the book presents R methods for a wide range of traditional statistical data processing techniques, including: - - Regression methods - Analyses of variance and covariance - Classification methods - Exploratory multivariate analysis - Clustering methods - Hypothesis tests - After a short presentation of the method, the book explicitly details the R command lines and gives commented results. Accessible to novices and experts alike, R for Statistics is a clear and enjoyable resource for any scientist. Datasets and all the results described in this book are available on the book’s webpage at http://www.agrocampus-ouest.fr/math/RforStat

DKK 579.00
1

R Companion to Epidemiology: Study Design and Data Analysis - Ajith R - Bog - Taylor & Francis Ltd - Plusbog.dk

Extending R - John M. (stanford University Chambers - Bog - Taylor & Francis Inc - Plusbog.dk

R 4 Quick Syntax Reference - Margot Tollefson - Bog - APress - Plusbog.dk

Bare-Bones R - Thomas P. Hogan - Bog - SAGE Publications Inc - Plusbog.dk

An Introductory Guide to R - Eric L. Einspruch - Bog - Guilford Publications - Plusbog.dk

Advanced R 4 Data Programming and the Cloud - Joshua F. Wiley - Bog - APress - Plusbog.dk

Advanced R 4 Data Programming and the Cloud - Joshua F. Wiley - Bog - APress - Plusbog.dk

Program for data analysis using R and learn practical skills to make your work more efficient. This revised book explores how to automate running code and the creation of reports to share your results, as well as writing functions and packages. It includes key R 4 features such as a new color palette for charts, an enhanced reference counting system, and normalization of matrix and array types where matrix objects now formally inherit from the array class, eliminating inconsistencies. Advanced R 4 Data Programming and the Cloud is not designed to teach advanced R programming nor to teach the theory behind statistical procedures. Rather, it is designed to be a practical guide moving beyond merely using R; it shows you how to program in R to automate tasks. This book will teach you how to manipulate data in modern R structures and includes connecting R to databases such as PostgreSQL, cloud services such as Amazon Web Services (AWS), and digital dashboards such as Shiny. Each chapter also includes a detailed bibliography with references to research articles and other resources that cover relevant conceptual and theoretical topics. What You Will Learn - Write and document R functions using R 4 - Make an R package and share it via GitHub or privately - Add tests to R code to ensure it works as intended - Use R to talk directly to databases and do complex data management - Run R in the Amazon cloud - Deploy a Shiny digital dashboard - Generate presentation-ready tables and reports using R Who This Book Is For Working professionals, researchers, and students who are familiar with R and basic statistical techniques such as linear regression and who want to learn how to take their R coding and programming to the next level.

DKK 509.00
1

A Survivor's Guide to R - Kurt Taylor Gaubatz - Bog - SAGE Publications Inc - Plusbog.dk

60 Hikes Within 60 Miles: Albuquerque - David Ryan - Bog - Menasha Ridge Press Inc. - Plusbog.dk

Machine Learning Using R - Karthik Ramasubramanian - Bog - APress - Plusbog.dk