Provides a data.table backend for dplyr. The goal of dtplyr is to allow you to write dplyr code that is automatically translated to the equivalent, but usually much faster, data.table code.
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This book showcases short, practical examples of lesser-known tips and tricks to helps users get the most out of these tools. After reading this book, you will understand how R Markdown documents are transformed from plain text and how you may customize nearly every step of this processing. For example, you will learn how to dynamically create content from R code, reference code in other documents or chunks, control the formatting with customer templates, fine-tune how your code is processed, and incorporate multiple languages into your analysis.
This cookbook contains more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly—without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a discussion of how and why the recipe works.
G. Consiglio, A. Burden, M. Maclure, L. McCarthy, und S. Cadarette. Pharmacoepidemiology and drug safety, 22 (11):
1146-53(November 2013)7472<m:linebreak></m:linebreak>CI: Copyright (c) 2013; JID: 9208369; OTO: NOTNLM; 2012/12/18 received; 2013/06/20 revised; 2013/07/29 accepted; aheadofprint;<m:linebreak></m:linebreak> <m:linebreak></m:linebreak>Dissenys híbrids; Case-crossover.