Interactive Apps

Shiny applications that ship inside the olsrr, blorr, descriptr, inferr, rfm, vistributions and xplorerr packages. Run locally in R — no install, no hosting, no account.

Seven Shiny applications covering data analysis, visualization and modelling. Each one ships inside its own R package and runs locally — there is no hosted copy to sign up for, and nothing to install beyond the package itself.

Browser hosting has been retired

Apps that were previously hosted in the browser are no longer available, and there is no replacement host. Every app below runs on your own machine with R installed. Copy the two lines, paste them into the console, and the app opens.

Regression and modelling

Docs CRAN GitHub

olsrr

Linear regression

Interactive regression output, diagnostics and variable selection.

Interactive diagnostics for a fitted lm model.

install.packages("olsrr")
olsrr::ols_launch_app()

Docs CRAN GitHub

blorr

Logistic regression

Model fit, validation and collinearity for binary outcomes.

The glm equivalent of the olsrr app.

install.packages("blorr")
blorr::blr_launch_app()

Docs CRAN GitHub

rfm

Customer segmentation

Generate RFM scores and explore customer segments visually.

Point it at transaction- or customer-level data.

install.packages("rfm")
rfm::rfm_launch_app()

Statistics and distributions

Docs CRAN GitHub

descriptr

Descriptive statistics

Data screening, summary statistics, frequency and cross tables.

A visual front end to the descriptr functions.

install.packages("descriptr")
descriptr::ds_launch_shiny_app()

Docs CRAN GitHub

inferr

Hypothesis testing

t tests, chi square, binomial and proportion tests, interactively.

Choose the test, pick the columns, read the result.

install.packages("inferr")
inferr::ifr_launch_shiny_app()

Also exported

inferr exports a second launcher under a longer name, infer_launch_shiny_app(). It is the same app; ifr_launch_shiny_app() is used here for consistency with the other packages.

Docs CRAN GitHub

vistributions

Probability distributions

Visualize the binomial, chi square, normal, F and t distributions.

Adjust the parameters and watch the density update.

install.packages("vistributions")
vistributions::vdist_launch_app()

Everything in one app

xplorerr bundles the whole set behind a single install, and adds a visualizer the other packages do not have. If you are not attached to a particular package, start here.

Docs CRAN GitHub

xplorerr

All seven apps

Descriptive, inferential, visual, RFM, linear and logistic — one package, one install.

Seven launchers. Each opens its own app window.

install.packages("xplorerr")
xplorerr::app_linear_regression()   # linear
xplorerr::app_logistic_regression() # logistic
xplorerr::app_descriptive()         # descriptive
xplorerr::app_inference()           # inference
xplorerr::app_vistributions()       # distributions
xplorerr::app_rfm_analysis()        # segmentation
xplorerr::app_visualizer()          # visualizer

Which launcher should I use?

Both routes work and reach the same apps. The difference is who owns them.

Option A

One install, seven apps

Install xplorerr and call any app_*() function. Nothing else to install.

Best if you want the visualizer, or several apps at once.

Option B

The owning package

Install the package that owns the app and call its own launcher.

Best if you already use that package for its non-interactive functions.

Package reference

nse2r has no app here

nse2r did ship a Shiny app for NSE market data, but the package was archived on CRAN on 2023-08-07 and is under revival, so it gets no app card. Nothing to install and nothing to link to.