Previewer
Authors: Hao Li
Abstract: An interactive previewer for the multi-variable dataset. Combining the functionalities of various packages and covers both plot, models, data, and code.
Full Description:
Previewer: A systematic previewer for multivariable data
Plan:
An interactive previewer for multivariable dataset. Combining the functionalities of various packages and covers both plot, models, data, and code.
To bring together the functions of
- tidyverse (ggplot/dplyr/GGally)
- Trellis-lattice (psych etc.)
- caret
- visreg
- misc3d-plot3d
and basic functionalities of R to create a:
- safer
- more systematic
- more considerate
preview with:
- implementation of exploratory, explanatory and predictive models
- consistent minimalistic graphic style
- sematic parameters/ reporting functions and pivot tables
- auto-generation of analysis code
Reference
The intro video gives an outline, but to fully understand the functionalities, it is recommended to have a view on multi-var stats systematically.
https://youtu.be/KIIK8HKG_ac
Demo Video
The books below are recommended references (and are related to packages being called) but not necessary for using the app:
Applied Predictive Modeling by Kuhn, Max
R For Data Science by Wickham, Hadley
Data Mining with R by Torgo, Luis
Keywords: Preview,visualization,transformation,,caret,tidyverse,lattice,visreg,plot3d
Shiny app: https://haoli111.shinyapps.io/Previewer/
Repo: GitHub - HaoLi111/Previewer: Previewing datasets with save and systematic statistical approach
RStudio Cloud: Posit Cloud
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