shinyTutorials | Material for MOSAIC Project tutorials on Shiny
kandi X-RAY | shinyTutorials Summary
kandi X-RAY | shinyTutorials Summary
shinyTutorials is a HTML library. shinyTutorials has no bugs, it has no vulnerabilities and it has low support. However shinyTutorials has a Non-SPDX License. You can download it from GitHub.
Shiny makes it easy for R users to develop responsive, R-powered web applications. As you probably know, either from your own initial forays into Shiny or from the Shiny Tutorial, creating simple apps is no problem, and probably you have some ideas for teaching apps that could be written using just the tools developed in the Tutorial. But some teaching apps appear to be quite complex. Consider, for example, this app which aims to introduce the student to the Chi-Square Test for Goodness of Fit. The app takes the user through a simulation process, keeping track of the results of simulations as they accumulate, permitting the viewer to consider the results from several points of view, and allowing the viewer to start over, perhaps with new data. The aim of this tutorial is to take you step-by-step through the construction of a reasonably full-featured simulation app that lets students explore, through simulation, the coverage properties of the classical t-intervals for a population mean. After completing the tutorial you will be able to write your own simulation apps---hopefully having been spared some of the struggle that I went through when I first learned Shiny in the Spring of 2014.
Shiny makes it easy for R users to develop responsive, R-powered web applications. As you probably know, either from your own initial forays into Shiny or from the Shiny Tutorial, creating simple apps is no problem, and probably you have some ideas for teaching apps that could be written using just the tools developed in the Tutorial. But some teaching apps appear to be quite complex. Consider, for example, this app which aims to introduce the student to the Chi-Square Test for Goodness of Fit. The app takes the user through a simulation process, keeping track of the results of simulations as they accumulate, permitting the viewer to consider the results from several points of view, and allowing the viewer to start over, perhaps with new data. The aim of this tutorial is to take you step-by-step through the construction of a reasonably full-featured simulation app that lets students explore, through simulation, the coverage properties of the classical t-intervals for a population mean. After completing the tutorial you will be able to write your own simulation apps---hopefully having been spared some of the struggle that I went through when I first learned Shiny in the Spring of 2014.
Support
Quality
Security
License
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Support
shinyTutorials has a low active ecosystem.
It has 14 star(s) with 25 fork(s). There are 5 watchers for this library.
It had no major release in the last 6 months.
shinyTutorials has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of shinyTutorials is current.
Quality
shinyTutorials has no bugs reported.
Security
shinyTutorials has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
shinyTutorials has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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shinyTutorials releases are not available. You will need to build from source code and install.
Installation instructions are not available. Examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of shinyTutorials
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of shinyTutorials
shinyTutorials Key Features
No Key Features are available at this moment for shinyTutorials.
shinyTutorials Examples and Code Snippets
No Code Snippets are available at this moment for shinyTutorials.
Community Discussions
No Community Discussions are available at this moment for shinyTutorials.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install shinyTutorials
You can download it from GitHub.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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