runApp: runApp
In ondri-nibs/outliers_app: ONDRI Outliers ShinyApp
Description
Walks user through outliers processing on a given, preprocessed data package and generates report.
This is a Shiny app that takes input data from the global environment (either matrix or dataframe),
and gives a step by step approach to outlier processing specifically:
1. Ordination Analysis
2. (Generalized) Minimum Covariance Determinant (G)MCD Analysis
3. CorrMax
This app is able to generate a report with the information up until the current step for each step
The server logic is organized as follows:
- Reactive Vals and Reactives: the step#done() reactiveVals are necessary for bookmark restoration
- Observers
- Render Outputs
- App State Trigger Funcs
Usage
1
runApp()
Author(s)
Logan Lim Jeremy Tanuan
ondri-nibs/outliers_app documentation built on March 25, 2021, 10:45 a.m.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
Walks user through outliers processing on a given, preprocessed data package and generates report.
This is a Shiny app that takes input data from the global environment (either matrix or dataframe), and gives a step by step approach to outlier processing specifically: 1. Ordination Analysis 2. (Generalized) Minimum Covariance Determinant (G)MCD Analysis 3. CorrMax This app is able to generate a report with the information up until the current step for each step
The server logic is organized as follows: - Reactive Vals and Reactives: the step#done() reactiveVals are necessary for bookmark restoration - Observers - Render Outputs - App State Trigger Funcs
Usage
1 | runApp()
|
Author(s)
Logan Lim Jeremy Tanuan
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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