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  • Format: PDF

Many students learn to analyze data using commercial packages, even though there is an open-source software with cutting-edge possibilities: R, a programming language with countless cool features for applied empirical research.
Practice R introduces R to social science students, inspiring them to consider R as an excellent choice. In a non-technical pragmatic way, this book covers all typical steps of applied empirical research.
Learn how to prepare, analyze, and visualize data in R. Discover how to collect data, generate reports, or automate error-prone tasks.
The book is accompanied
…mehr

  • Geräte: PC
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  • Größe: 31.03MB
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Produktbeschreibung
Many students learn to analyze data using commercial packages, even though there is an open-source software with cutting-edge possibilities: R, a programming language with countless cool features for applied empirical research.

Practice R introduces R to social science students, inspiring them to consider R as an excellent choice. In a non-technical pragmatic way, this book covers all typical steps of applied empirical research.

Learn how to prepare, analyze, and visualize data in R. Discover how to collect data, generate reports, or automate error-prone tasks.

The book is accompanied by an R package. This provides further learning materials that include interactive tutorials, challenging you with typical problems of applied research. This way, you can immediately practice the knowledge you have learned. The package also includes the source code of each chapter and templates that help to create reports.

Practice R has social science students in mind, nonetheless a broader audience may use Practice R to become a proficient R user.

Edgar J. Treischl is a postdoctoral researcher. He studied sociology in Munich and attained his PhD at the University of Mannheim. His research interests include educational research, evaluation, and data science.


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Autorenporträt
Edgar J. Treischl is a postdoctoral researcher. He studied sociology in Munich and attained his PhD at the University of Mannheim. His research interests include educational research, evaluation, and data science.