runNormalityAssessmentApp: Run the NormalityAssessment Shiny application

In ccasement/NormalityAssessment: A Graphical User Interface for Testing Normality Visually

Run the NormalityAssessment Shiny application

Description

Runs the NormalityAssessment Shiny application.

Usage

runNormalityAssessmentApp()

Value

There is no return value.

Author(s)

Christopher Casement
Department of Mathematics
Fairfield University
[e-mail]

Laura McSweeney
Department of Mathematics
Fairfield University

References

Buja, A., Cook, D., Hofmann, H., Lawrence, M., Lee, E. K., Swayne, D. F., & Wickham, H. (2009). Statistical inference for exploratory data analysis and model diagnostics. Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, 367(1906), 4361-4383.

Majumder, M., Hofmann, H., & Cook, D. (2013). Validation of visual statistical inference, applied to linear models. Journal of the American Statistical Association, 108(503), 942-956.

Wickham, H., Cook, D., Hofmann, H., & Buja, A. (2010). Graphical inference for infovis. IEEE Transactions on Visualization and Computer Graphics, 16(6), 973-979.

Examples

## only run the app in an interactive R session
if (interactive()) {runNormalityAssessmentApp()}

ccasement/NormalityAssessment documentation built on March 28, 2023, 6:48 a.m.