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Step-by-Step Programming with Base SAS Software
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ISBN: 9781580257916 Year: 2001 Publisher: Cary, NC SAS Institute

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Examples galore guide you in this invaluable how-to guide for basic programming with base SAS software! With this task-oriented guide, you will learn, step-by-step, how to use DATA step programming and base SAS procedures to perform common tasks in your daily use of SAS software. By following examples, you will master basic programming techniques; learn methods for combining SAS data sets; produce basic detailed and summary reports; and enhance your reports with the Output Delivery System, including transforming your SAS output into HTML or RTF formats and PDF files. This book is designed for new users who have an introductory-level knowledge of SAS software and for intermediate users who want help with specific tasks or to learn new ones. Written in a succinct and conversational tone, this book has something for every SAS programmer.


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Cody's data cleaning techniques using SAS software
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ISBN: 9781580256001 Year: 1999 Publisher: Cary, NC SAS Institute

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The key to ensuring accurate data is having clean data. This book develops and describes data cleaning programs and macros. You can use many of the programs and macros that are provided as is, or you can modify them for your own special data cleaning tasks. Ron has carefully explained and documented each of the programs and macros, thus providing you with SAS programming instruction on an intermediate-to-advanced level. Topics presented include validation checks on character data, numeric data, missing values, and date values; searching for duplicate records; working with multiple files; double entry and verification using the COMPARE procedure; and SQL solutions and using validation data sets. Written in Ron's signature informal, tutorial style, this book gives anyone who manages data thoroughly documented, step-by-step instructions for the development of data cleaning programs and macros.


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Stata programming : release reference manual 9
ISBN: 9781597180009 Year: 2005 Publisher: College Station, Tex. Stata Press

Windows 7 and Vista guide to scripting, automation, and command line tools
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ISBN: 9780789737281 Year: 2011 Publisher: Indianapolis, Ind. Que Pub.

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Windows 7 and Vista contain state-of-the-art tools for streamlining or automating virtually any system management task. If you’re a power user, administrator, or developer, these tools can help you eliminate repetitive work and manage your systems far more reliably and effectively.

Access 2007 VBA programming for dummies
Authors: ---
ISBN: 9780470046531 9780470148044 0470148047 1280741910 9781280741913 0470046538 Year: 2007 Publisher: Hoboken, NJ Wiley

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Human judgement and social policy : irreducible uncertainty, inevitable error, unavoidable injustice
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ISBN: 0195097343 0195357043 1280451335 1602560501 9781602560505 9780195357042 9781280451331 9786610451333 6610451338 9780195097344 0197735754 Year: 2023 Publisher: New York ; Oxford University Press,

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This work focuses on how social policy grows out of the policymaker's judgment about what to do, what can be done, and what ought to be? Answers necessarily emerge from human judgment, and from human error and the unavoidable uncertainty in the world.

Dorland's pocket medical dictionary
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ISBN: 0721662544 Year: 2001 Publisher: Philadelphia [etc.] : Saunders,

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Ukraïnsʹke vydanni︠a︡ naĭbilʹshoho amerykansʹkoho medychnoho slovnyka "Dorland's illustrated medical dictionary" (29th ed.) mistytʹ blyzʹko 121,160 terminiv (bilʹshe 2,300,000 sliv) i sʹohodni i︠e︡ naĭbilʹshym anhlo-ukraïnsʹkym ili︠u︡strovanym medychnym slovnykom, shcho okhopli︠u︡i︠e︡ terminolohichni poni︠a︡tti︠a︡ z usikh rozdiliv medyt︠s︡yny, farmat︠s︡iï, veterynariï ta inshykh oblasteĭ znanʹ, dotychnykh do medyt︠s︡yny.


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Ggplot2 : elegant graphics for data analysis
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ISBN: 9783319242750 Year: 2016 Publisher: Switzerland : Springer,

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This new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with knitr and RStudio. ggplot2 is a data visualization package for R that helps users create data graphics, including those that are multi-layered, with ease. With ggplot2, it's easy to : (-) produce handsome, publication-quality plots with automatic legends created from the plot specification ; (-) superimpose multiple layers (points, lines, maps, tiles, box plots) from different data sources with automatically adjusted common scales ; (-) add customizable smoothers that use powerful modeling capabilities of R, such as loess, linear models, generalized additive models, and robust regression ; (-) save any ggplot2 plot (or part thereof) for later modification or reuse ; (-) create custom themes that capture in-house or journal style requirements and that can easily be applied to multiple plots ; (-) approach a graph from a visual perspective, thinking about how each component of the data is represented on the final plot. This book will be useful to everyone who has struggled with displaying data in an informative and attractive way. Some basic knowledge of R is necessary (e.g., importing data into R). ggplot2 is a mini-language specifically tailored for producing graphics, and you'll learn everything you need in the book. After reading this book you'll be able to produce graphics customized precisely for your problems, and you'll find it easy to get graphics out of your head and on to the screen or page.


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Machine learning with R : expert techniques for predictive modeling
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ISBN: 9781788295864 1788295862 Year: 2019 Publisher: Birmingham, UK Packt

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Machine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data.Machine Learning with R, Third Edition provides a hands-on, readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights, make new predictions, and visualize your findings.This new 3rd edition updates the classic R data science book to R 3.6 with newer and better libraries, advice on ethical and bias issues in machine learning, and an introduction to deep learning. Find powerful new insights in your data; discover machine learning with R.

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