runNormalityAssessmentApp {NormalityAssessment}

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()}