Shiny

Meta-analysis Shiny Application Guideline

by Sangyoung Jung

2024-02-06

Sangyoung Jung This application can help data analysis for the meta analysis and data visualization including forest plots and geographical frequency maps. It offers four key benefits: Data Cleaning and Check: The application not only cleanses datasets, preparing elements such as author names for meta-analysis, but also assists in identifying missing values and outliers during data checks. Meta-analysis Model Fitting: It is capable of conducting meta-analysis and moderator analysis with detailed statistics and diagnostic plots. Data Visualization: The application supports data visualization, … Read more →

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EGM Shiny Application Guideline

by Sangyoung Jung

2024-01-31
EGM Shiny Application Guideline

Sangyoung Jung Welcome to the “Guideline for EGM Shiny Application.” This guide is meticulously crafted to support you in three critical areas: Data Verification - Dive deep into your data to identify missing values, spot outliers (such as unrealistic publication years), and rectify mismatches in intervention and outcome codes within DEP and EGM frameworks. Chapter 1, Chapter 2, Chapter 3 Visualization - Transform your dataset into insightful visual narratives, from detailed country maps to dynamic charts that illuminate the nexus between interventions and outcomes. Chapter 4 Advanced … Read more →

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Design Notebook

by Hao Sun

2023-10-08

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This is a note for popular clinical trial designs. Each design contains some corresponding literature, a shiny app for calculation and computation ... Read more →

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Workshop: Interactive Data Analysis with Shiny

by Paul C. Bauer & Jonas Lieth

2023-06-23

Paul C. Bauer & Jonas Lieth This document serves as slides and script for the workshop Interactive Data Analysis with Shiny taught by Paul C. Bauer and Jonas Lieth (Gesis, Mannheim, Online, 5-7th of July 2023). Original material is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. Where we draw on other authors material other licenses may apply (see references in the syllabus as well as the citations and links in the script). For potential future versions of this material see the github repository. If you have feedback or discover errors/dead … Read more →

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bookdown: Authoring Books and Technical Documents with R Markdown

by Yihui Xie

2023-05-25
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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PrioriTree: an Interactive Utility for Improving Geographic Phylodynamic Analyses in BEAST

by Jiansi Gao, Michael R. May, Bruce Rannala, Brian R. Moore

2022-12-20

PrioriTree is an interactive browser utility—distributed as an R package (see https://jsigao.shinyapps.io/prioritree/ for a demo of the utility)—designed to help researchers specify input files for—and process output files from—analyses of biogeographic history performed using the BEAST software package (Drummond et al. 2012; Suchard et al. 2018). The discrete-geographic models implemented in BEAST (Lemey et al. 2009; Edwards et al. 2011) contain many parameters that must be inferred from minimal information (the single geographic area in which each pathogen occurs); inferences under this … Read more →

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Shiny Notebook

by Hao Sun

2022-08-25

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This bookdown is used to take some notes of shiny app. In this notebook, you can find some common shiny commands which can help you build a shiny app. Here are some useful ... Read more →

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R-Shiny-Book.knit

by loankimrobinson

2022-07-06

This book is for the beginner, intermediate and advanced R programmer looking to produce higher level reporting and advanced visualization techniques using R Shiny. […] … Read more →

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Úvod do analýzy údajov pomocou R

by Tomáš Bacigál

2022-05-11

Základy jazyka R a úvod do Data Science: prieskumná analýza, transformácia údajov (dplyr), vizualizácia (ggplot2), čistenie údajov (tidyr), interaktívne grafy (htmlwidgets, shiny, …), komunikácia (RMarkdown), efektívne programovanie (parallel, RCpp, RSQLite). […] I don’t think anyone actually believes that R is designed to make everyone happy. For me, R does about 99% of the things I need to do, but sadly, when I need to order a pizza, I still have to pick up the telephone. (Roger D. Peng, r. 2004) Tento citát vystihuje univerzálnosť softvérového nástroja R1. Tak ako u viacerých „open … Read more →

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Outstanding User Interfaces with Shiny

by David Granjon

2022-03-14
Outstanding User Interfaces with Shiny

A book about deeply customizing Shiny app for production. […] By Kenton Russel aka @timelyportfolio Since the initial commit (https://github.com/rstudio/shiny/commit/e28b3da1badfecb34235e74a43aac4e8da1641bc) of Shiny in June 2012, the project has grown rapidly with users around the world across nearly every domain. Until 2021, strangely though, there was nearly zero comprehensive resources collecting the scattered wisdom and experience of thousands of Shiny users and developers into a single definitive resource. While, Hadley Wickham’s Mastering Shiny book (Hadley 2021) focuses on providing … Read more →

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Building Pension Models and Actuarial Tools Using R and R Shiny

by Tommy Cornally

2021-04-08

Building Pension Models and Actuarial Tools Using R and R Shiny […] This interactive report has been created to demonstrate the functionality of R Markdown and Bookdown, as an additional tool that actuaries and others can avail of. Each page of the application (with the exception of the combined SORP Calculator and Drawdown Simulation) has been rebuilt using miniUI [1], an R library used to create Shiny Widgets. However, these “mini-apps” do not fully replicate the main application. Similarly, this interactive report does not intend to replace the original - it merely serves to compliment … Read more →

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Exercises for ‘Introduction to The New Statistics’

by Peter Baumgartner

2020-08-02
Exercises for ‘Introduction to The New Statistics’

This website is a companion book for Introduction to the New Statistics (abbreviated itns). It offers interactive exercises developed mostly in H5P but also with learnr and shiny. It also contains an R tutorial for the end-of-chapter exercises of itns. […] This website is an (inoffical) companion book for Introduction to the New Statistics (abbreviated itns). It offers GitHub resources of this book can be found in two places: I have built the interactive exercises in this book with H5P.org. H5P stands for HTML5 Package, a free and open-source content collaboration framework based on … Read more →

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資料科學與R語言

by 曾意儒 Yi-Ju Tseng

2020-07-20

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,並可搭配YouTube平台上的教學影片參考使用,影片閱讀清單詳見本書最末章節Ch 13 教學影片資訊。 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。 … Read more →

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웹R을 이용한 통계분석

by 문 건 웅

2020-05-12

안녕하세요? 웹R(web-r.org)을 운영하는 문건웅입니다. “웹에서 하는 R통계”는 통계에는 관심이 있으나 R을 어려워하는 여러 연구자들을 위한 프로젝트입니다. R설치없이 클릭만으로 웹에 있는 서버를 이용하여 통계분석을 하고 보다 R을 쉽게 사용하기 위한 패키지 개발 및 Shiny app 공동개발을 목표로 하고 있습니다. “웹에서 하는 R 통계분석” 책은 2015년 한나래출판사에서 출간되어 2쇄까지 완판되었으나 R이 업데이트되고 웹에서 하는 R 통계분석 앱의 내용이 계속 업데이트되면서 그 내용이 현재 프로그램을 제대로 반영하고 있지 못해 개정판을 내달라는 요구가 많았으나 기존과 같이 출판사를 통해 출간하는 방식으로는 웹에서 하는 … Read more →

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Interactive web-based data visualization with R, plotly, and shiny

by Carson Sievert

2019-12-19
Interactive web-based data visualization with R, plotly, and shiny

A useR guide to creating highly interactive graphics for exploratory and expository visualization. […] This is the website for “Interactive web-based data visualization with R, plotly, and shiny”. In this book, you’ll gain insight and practical skills for creating interactive and dynamic web graphics for data analysis from R. It makes heavy use of plotly for rendering graphics, but you’ll also learn about other R packages that augment a data science workflow, such as the tidyverse and shiny. Along the way, you’ll gain insight into best practices for visualization of high-dimensional data, … Read more →

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Grand Slam Heroes

by Ganesh Viswanathan and Roma Dutta

2019-12-09

Grand Slam Heroes […] “The Open Era is the current era of professional tennis. It began in 1968 when the Grand Slam tournaments allowed professional players to compete with amateurs, ending the division that had persisted since the dawn of the sport in the 19th century.” - Wikipedia Github Link: https://github.com/ganesh2512/finalProject Rstudio Cloud Link: https://rstudio.cloud/project/704614 Bookdown Link: https://bookdown.org/rdutta4/bookdown-grandslam/ ShinyAppsIOLink: https://ganesh-viswanathan.shinyapps.io/finalProjectShiny/ Data source Link: https://github.com/rfordatascience/tidytues … Read more →

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How to Build a Shiny Application from Scratch

by Hadrien@rstudio.com

2019-08-16

How to Build a Shiny Application from Scratch […] Shiny is a powerful R package which allows you to create interactive web applications using the R programming language. It is particularly useful for creating applications that run on data and include some sort of data analysis or visualization. In addition to leveraging the power of R and its thousands of packages, one of the big benefits of shiny is the ease of developing applications using R only. Although it is possible to incorporate more traditional web design languages such as custom CSS or Javascript into your shiny application, it … Read more →

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Fatal Force Study Group - Shiny App

by marwaelatrache

2019-07-03

Fatal Force Study Group - Shiny App […] The Fatal Force Study Group (FFSG) was founded at the University of Washington (UW) by professor Martina Morris. Morris has a strong background in Sociology and Statistics and after joining an activism group called Not This Time she decided to start investigating fatal encounters with police, along with a group of UW undergraduate students. Since then the group has been joined by Professor Ben Marwick, an UW archaeology professor with a strong interest in statistics and R, as well as several more undergraduate students from both UW and neighboring … Read more →

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Building Web Applications with Shiny and SQL Server

by Matthew Sharkey

2019-04-27

A guide to building scalable Shiny Datbase applications […] This book supplements my presentation at the Omaha R User Group on Thursday, April 4, … Read more →

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BIOL3360 - Analysis and Communication of Biological Data:

by janengelstaedter

2019-04-05

This online textbook contains learning material for the UQ (The University of Queensland) course BIOL3360: Analysis and Communication of Biological Data. This book is organised with each chapter corresponding to lectures from the Mathematical Modelling component of the course. This book contains many code chunks that can be copied and pasted into an R console to create Shiny apps of the models being discussed. Content and figures were created by Jan Engelstädter. Online version including Shiny apps were created by Nicole Fortuna. Read more →

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Bookdown

by Arredondo Sánchez Andrea Elizabeth, Vargas Mendoza Ana Luisa

2019-04-02

Yihui Xie es ingeniero de software de RStudio, autor de distintos paquetes como knitr, blogdown, xaringan, tinytex y bookdown. Además, ha colaborado en importantes paquetes como Shiny y RMarkdown. Ha publicado libros como “bookdown: Authoring Books and Technical Documents with R Markdown” del cual nos basaremos para hablar de Bookdown. Bookdown es un paquete de R que nos ayuda a integrar multiples documentos de R Markdown en un solo archivo con formato HTML, PDF,… . Este archivo puede ser un manual de usuario, nuestras notas de estudio e incluso nuestro diario. En él podemos agregar y editar … Read more →

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Supplement to Shiny in Production

by kellobri.github.io

2019-01-15

This document is full of supplemental resources and content from the Shiny in Production Workshop delievered at rstudio::conf 2019. … 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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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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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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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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Engineering Production-Grade Shiny Apps

by Colin Fay, Sébastien Rochette, Vincent Guyader, Cervan Girard

2024-02-14*
Engineering Production-Grade Shiny Apps

A book about engineering shiny application that will later be sent to production. This book cover project management, structuring your project, building a solid testing suite, and optimizing your codebase. We describe in this book a specific workflow: design, prototype, build, strengthen and deploy. […] Welcome to “Engineering Production-Grade Shiny Apps” by Colin Fay, Sébastien Rochette, Vincent Guyader and Cervan Girard. This book is available in print, published in the R Series by Chapman and Hall/CRC. You can grab a copy on routledge.com. The online version of this book is free to read … Read more →

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