Exploratory Regression 'Shiny' App

Constructs a 'shiny' app function with interactive displays for summary and analysis of variance regression tables, and parallel coordinate plots of data and residuals.

The Exploratory Regression Shiny App (ERSA) package consists of a collection of functions for displaying the results of a regression calculation, which are then packaged together as a shiny app function.


You can install ERSA from github with:



This is a basic example which shows you how to solve a common problem:

## basic example code

To use ERSA first do


Then construct a regression model of your choice.

f <- lm(Fertility ~ . , data = swiss)

This opens up a browser through which you can explore the regression model.

Here is a screen shot of the result:

Check out the vignette for more information and details.


To play around with ERSA on another dataset, check out the Shiny app on check out the Shiny app online. It uses the hprice1 dataset from the R package wooldridge.


Reference manual

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0.1.3 by Catherine B. Hurley, a year ago

Browse source code at https://github.com/cran/ERSA

Authors: Catherine B. Hurley

Documentation:   PDF Manual  

GPL (>= 2.0) license

Imports shiny, miniUI, RColorBrewer, ggplot2, car, leaps, broom, dplyr, tidyr, purrr, combinat, stats, methods

Suggests knitr, rmarkdown, testthat

See at CRAN