Shiny

bookdown: Authoring Books and Technical Documents with R Markdown

by Yihui Xie

2018-12-05
bookdown: Authoring Books and Technical Documents with R Markdown

A guide to authoring books with R Markdown, including how to generate figures and tables, and insert cross-references, citations, HTML widgets, and Shiny apps in R Markdown. The book can be exported to HTML, PDF, and e-books (e.g. EPUB). The book style is customizable. You can easily write and preview the book in RStudio IDE or other editors, and host the book wherever you want (e.g. bookdown.org). Read more →

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Shiny (I)

by 林茂廷老師

2017-12-13

Shiny (I) … Read more →

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資料科學與R語言

by 曾意儒 Yi-Ju Tseng

2017-03-20

介紹如何使用R語言完成資料讀取、處理、分析與呈現,以及大數據技術與R的整合 […] 本書介紹如何使用R語言完成資料讀取 (檔案、透過API擷取或爬蟲)、資料清洗與處理、探索式資料分析、資料視覺化、互動式資料呈現 (搭配Shiny) 與資料探勘等,並介紹R與Hadoop Ecosystems介接方法。 資料探勘章節尚未完成,epub版本格式微調中。 如要一次安裝所有本書會使用到的套件,可在R內執行以下程式碼: 本書為長庚大學資訊管理學系 大數據分析方法課程教學使用書籍 如果您想修改文字或範例,歡迎透過此連結或是透過GitHub issue提供建議與回饋。 本書程式碼執行環境: 本書使用套件版本: 本著作係採用創用 CC 姓名標示-非商業性-禁止改作 3.0 台灣 … Read more →

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Interactive Data Visualization (2nd Day)

by Paul C. Bauer & Richard Traunmüller

2016-11-23

Script developed for a workshop at the CUSO doctoral school on the 4th and 5th November 2016. […] This document serves as slides and script for the second day of the workshop Data Visualization taught by Paul C. Bauer and Richard Traunmüller for the Programme doctoral en science politique (PDSPO) (Bern, 4-5 of November 2016). The present material is licensed under a Creative Commons Attribution-ShareAlike License 3.0. Regarding further use of this material contact Paul. Some of the material is inspired by the official shiny tutorial and Plotly for R by Carston Sievert. For potential future … Read more →

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R Powered Web Applications with Shiny

by Zev Ross (with Andrew Clark)

2016-11-08

R Powered Web Applications with Shiny […] This is a book version, transcribed by Andrew Clark using RStudio’s bookdown package, of an extensive blog post by Zev Ross. The book version has the advantage of being available in several formats, more easily updated and downloadable. However, for an interactive version refer to the above mentioned blog … Read more →

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GerminaQuant

by Flavio Lozano Isla, Omar Benites Alfaro, Marcelo Francisco Pompelli

2016-10-11
GerminaQuant

A guide for analisis of germination variables and usage of GerminaQuant. […] GerminaQuant allows make the calculation of the germination variables incredibly easy in an interactive applications build in R (R Core Team 2016), based in GerminaR and Shiny (Chang et al. 2016) package. GerminaQuant app is reactive!. Outputs change instantly as users modify inputs, without requiring a reload the app. The principal features of the application allow calculate the princiapal germination Variables, statistical analysis and easy way to plot the results. … Read more →

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useR2016 Conference Videos

by Andrew Clark

2016-07-19
useR2016 Conference Videos

Chart, interactive table and a selection of videos from the useR2016 conference […] This acts as a repository for some of my favourite video talks from the recent useR2016 conference along with the ability to view any of the offerings via a clickable table. It is probably not the most effective of presentation but is a trial run for creating and deploying interactive books to bookdown.org Andrew Clark is an independent R developer based in North Vancouver He has for many years supplied statistical sports data on the web but with the interactive opportunities arising from the shiny framework … Read more →

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Scalable Machine Learning and Data Science with Microsoft R Server and Spark

by Ali Zaidi, Machine Learning and Data Science, Microsoft

2016-06-01

These are (tentatively) rough notes showcasing some tips on conducting large scale data analysis with R, Spark, and Microsoft R Server. The focus is primarily on machine learning with Azure HDInsight platform, but review other in-memory, large-scale data analysis platforms, such as R Services with SQL Server 2016, and discuss how to utilize BI tools such as PowerBI and Shiny for dynamic reporting, and report generation. Read more →

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Shiny Tutorial

by Weicheng Zhu

2016-05-25

This is a shiny tutorial. […] Some basic knowlege about the R lanuage is requred. It would be helpful if you have some basic knowlege about HTML, CSS and javascript, but they are not … Read more →

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