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.

Installation

You can install ERSA from github with:

devtools::install_github("cbhurley/ERSA")
library(ERSA)

Usage

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

## basic example code

To use ERSA first do

library(ERSA)

Then construct a regression model of your choice.

f <- lm(Fertility ~ . , data = swiss)
exploreReg(f,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.

Shinyapps.io

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.

News

Reference manual

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install.packages("ERSA")

0.1.1 by Catherine B. Hurley, 10 months ago


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


Authors: Catherine B. Hurley


Documentation:   PDF Manual  


GPL (>= 2.0) license


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

Suggests knitr, rmarkdown


See at CRAN