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shinyscholar
View on CRAN: Click
here
Download and install shinyscholar package within the R console
Install from CRAN:
install.packages("shinyscholar")
Install from Github:
library("remotes")
install_github("cran/shinyscholar")
Install by package version:
library("remotes")
install_version("shinyscholar", "0.2.5")
Attach the package and use:
library("shinyscholar")
Maintained by
Simon E. H. Smart
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.shinyscholar . https://github.com/simon-smart88/shinyscholar/issues . https://simon-smart88.github.io/shinyscholar/ . shinyscholar results . shinyscholar.pdf . shinyscholar_0.2.5.tar.gz . shinyscholar_0.2.5.zip . shinyscholar_0.2.5.zip . shinyscholar_0.2.5.zip . shinyscholar_0.2.5.tgz . shinyscholar_0.2.5.tgz . shinyscholar_0.2.5.tgz . shinyscholar_0.2.5.tgz . shinyscholar_0.2.5.tgz . shinyscholar_0.2.5.tgz . shinyscholar archive . https://CRAN.R-project.org/package=shinyscholar .
First Published: 2025-01-15
Latest Update: 2025-01-17
Description:
Create a skeleton 'shiny' application with create_template() that is reproducible, can be saved and meets academic standards for attribution. Forked from 'wallace'. Code is split into modules that are loaded and linked together automatically and each call one function. Guidance pages explain modules to users and flexible logging informs them of any errors. Options enable asynchronous operations, viewing of source code, interactive maps and data tables. Use to create complex analytical applications, following best practices in open science and software development. Includes functions for automating repetitive development tasks and an example application at run_shinyscholar() that requires install.packages("shinyscholar", dependencies = TRUE). A guide to developing applications can be found on the package website.
How to cite:
Simon E. H. Smart (2025). shinyscholar: A Template for Creating Reproducible 'shiny' Applications. R package version 0.2.5, https://cran.r-project.org/web/packages/shinyscholar. Accessed 17 Feb. 2025.
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