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Titlebook: A Beginner’s Guide to Statistics for Criminology and Criminal Justice Using R; Alese Wooditch,Nicole J. Johnson,Samuel Langton Textbook 20

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期刊全稱A Beginner’s Guide to Statistics for Criminology and Criminal Justice Using R
影響因子2023Alese Wooditch,Nicole J. Johnson,Samuel Langton
視頻videohttp://file.papertrans.cn/141/140033/140033.mp4
發(fā)行地址The first R textbook aimed specifically at the needs of criminology and criminal justice researchers.Helps readers master program basics such as R file types, importing and exporting data, data types
圖書封面Titlebook: A Beginner’s Guide to Statistics for Criminology and Criminal Justice Using R;  Alese Wooditch,Nicole J. Johnson,Samuel Langton Textbook 20
影響因子.This book provides hands-on guidance for researchers and practitioners in criminal justice and criminology to perform statistical analyses and data visualization in the free and open-source software R. It offers a step-by-step guide for beginners to become familiar with the RStudio platform and tidyverse set of packages. .This volume will help users master the fundamentals of the R programming language, providing tutorials in each chapter that lay out research questions and hypotheses centering around a real criminal justice dataset, such as data from the National Survey on Drug Use and Health, National Crime Victimization Survey, Youth Risk Behavior Surveillance System, The Monitoring the Future Study, and The National Youth Survey. Users will also learn how to manipulate common sources of agency data, such as calls-for-service (CFS) data. The end of each chapter includes exercises that reinforce the R tutorial examples, designed to help master the software as well as to provide practice on statistical concepts, data analysis, and interpretation of results...The text can be used as a stand-alone guide to learning R or it can be used as a companion guide to an introductory statist
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Action Generation from Natural Language R is open source—and it’s free! In early 2020, there were over 15,000 available packages, and the number of things that can be done with R grows exponentially every day as users keep adding new packages. Because it is open source, new statistical methods are quickly implemented, and R offers more a
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Action Generation from Natural Languagerocess—transforming your data into what Hadley Wickham (Wickham, Journal of Statistical Software, 59(10), 1–23, 2014) calls .. Fittingly, many useful functions for data tidying are in a set of packages called the .. Data tidying is a very important step that will ensure your data are in the format y
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Zhou Su,Jiro Katto,Yasuhiko Yasudawill be working with ., a package within the . set of packages, for making high-quality, reproducible graphics. Data visualization is an accessible, aesthetically pleasing, and powerful way to explore, analyze, and convey complex information. It is an integral part of investigating data and dissemin
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Nashwa Abdel-Baki,Hans Peter Gro?mann. These make our findings relevant to the real world, and not specific to any one study or any one dataset. This is where inferential statistics are particularly useful. There are a number of key concepts underlying inferential statistics that we can demonstrate visually within .. This chapter will
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