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R Markdown

R Markdown: The Definitive Guide is the first official book authored by the core R Markdown developers that provides a comprehensive and;

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R Markdown

R Markdown: The Definitive Guide is the first official book authored by the core R Markdown developers that provides a comprehensive and;

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R Markdown Cookbook

This book is designed to provide a range of examples of how to extend the functionality of your R Markdown documents. As a cookbook, this;

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R Markdown Cookbook

This book is designed to provide a range of examples of how to extend the functionality of your R Markdown documents. As a cookbook, this;

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R Markdown Cookbook

Highlight the many ways in which your R Markdown documents can be customized Full source code and examples are provided on GitHub;

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R Markdown Cookbook

Highlight the many ways in which your R Markdown documents can be customized Full source code and examples are provided on GitHub;

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Blogdown: Creating Websites with R Markdown

Describes how to create websites based on R Markdown Describes how to publish data analysis results and R computing/graphics output;

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Bookdown

bookdown: Authoring Books and Technical Documents with R Markdown presents a much easier way to write books and technical publications than;

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bookdown

bookdown: Authoring Books and Technical Documents with R Markdown presents a much easier way to write books and technical publications than;

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blogdown

Describes how to create websites based on R Markdown Describes how to publish data analysis results and R computing/graphics output;

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Introducing Markdown and Pandoc

Discover how to write manuscripts in Markdown and translate them with Pandoc into different output formats.;

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Introducing Markdown and Pandoc

Discover how to write manuscripts in Markdown and translate them with Pandoc into different output formats. You'll use Markdown to annotate;

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Using Markdown

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The Markdown Guide

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Introduction to Data Science

, UNIX/Linux shell, Git and GitHub, and knitr and R Markdown;

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A First Course in Statistical Programming with R

packages in R, including expanded coverage of ggplot2, and R Markdown. The expanded simulation chapter introduces the Box-Muller and Metropolis;

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An Introduction to the Advanced Theory and Practice of Nonparametric Econometrics

developments in reproducible research is emphasized throughout with appendices devoted to helping the reader get up to speed with R, R Markdown, TeX;

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Reproducible Research with R and R Studio

intuitive Markdown syntaxImprovements to RStudio’s interface and capabilities, such as its new tools for handling R Markdown documents

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Using R for Introductory Econometrics

" Introduces the popular, powerful and free programming language and software package ""R"" Focus implementation of standard tools;

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Grundlagen der Datenanalyse mit R

ausfuhrlich das Paket dplyr vor, enthalt eine erweiterte Darstellung von R-Markdown-Dokumenten und bespricht Hinweise zur Reproduzierbarkeit von;

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Mastering RStudio - Develop, Communicate, and Collaborate with R

Harness the power of RStudio to create web applications, R packages, markdown reports and pretty data visualizations About This Book;

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Dynamic Documents with R and knitr, Second Edition

chapter that introduces R Markdown v2 Changes that reflect improvements in the knitr package New sections on generating tables, defining;

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Dynamic Documents With R & knitr Second

chapter that introduces R Markdown v2 Changes that reflect improvements in the knitr package New sections on generating tables, defining custom;

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Dynamic Documents with R and Knitr

, because it is inconvenient to reproduce the results.Dynamic Documents with R and knitr introduces a new approach via dynamic;

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Using R and RStudio for Data Management, Statistical Analysis, and Graphics

philosophy and use of the knitr and markdown packages for R New packages that extend the functionality of R and facilitate sophisticated analyses;

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Hands-On Dashboard Development with Shiny

using HTML, CSS, and JavaScript. You will also learn to develop an application that creates documents and reports using R Markdown. Furthermore;

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Geospatial Health Data

and time plots, Reproducible R Markdown reports, interactive dashboards, and Shiny web applications that facilitate the communication;

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