| Type: | Package |
| Title: | A Graphical User Interface for Testing Normality Visually |
| Version: | 0.1.1 |
| Maintainer: | Christopher Casement <casementc@gmail.com> |
| Description: | Package including an interactive Shiny application for testing normality visually. |
| License: | MIT + file LICENSE |
| URL: | https://github.com/ccasement/NormalityAssessment, https://CRAN.R-project.org/package=NormalityAssessment |
| BugReports: | https://github.com/ccasement/NormalityAssessment/issues |
| Depends: | R (≥ 3.5.0) |
| Imports: | dplyr (≥ 1.0.7), DT (≥ 0.19), ggplot2 (≥ 3.3.5), rio (≥ 0.5.27), rmatio (≥ 0.16.0), shiny (≥ 1.7.1), shinyalert (≥ 2.0.0), shinyBS (≥ 0.61), stringi (≥ 1.7.4), stringr (≥ 1.4.0) |
| Encoding: | UTF-8 |
| Language: | en-US |
| RoxygenNote: | 7.3.2 |
| NeedsCompilation: | no |
| Packaged: | 2025-05-02 16:18:36 UTC; ccasement |
| Author: | Christopher Casement [cre, aut], Laura McSweeney [aut] |
| Repository: | CRAN |
| Date/Publication: | 2025-05-02 16:50:02 UTC |
NormalityAssessment: A Graphical User Interface for Testing Normality Visually
Description
The NormalityAssessment package creates plots for assessing normality. The methods implemented are based on developments made in graphical inference. In the app, the features in the 'Explore Simulated Data' tab enable the user to run the Rorschach procedure, and those in the 'Include Your Data' tab allow the user to run the line-up procedure.
Details
Package: NormalityAssessment
Type: Package
Version: 0.1.1
Date: 2025-05-02
Depends: R (>= 3.5.0)
Imports: dplyr, DT, ggplot2, rio, rmatio, shiny, shinyalert, shinyBS,
stringi, stringr
License: MIT
BugReports: https://github.com/ccasement/NormalityAssessment/issues
Encoding: UTF-8
Function
Author(s)
Christopher Casement
Department of Mathematics
Fairfield University
casementc@gmail.com
Laura McSweeney
Department of Mathematics
Fairfield University
See Also
Useful links:
Report bugs at https://github.com/ccasement/NormalityAssessment/issues
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
casementc@gmail.com
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()}