Blog Archives

Meet T3 – Tychobra Time Tracker

September 3, 2019
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Meet T3 – Tychobra Time Tracker

Raison d’être At Tychobra, like many consulting businesses, we have multiple projects for multiple clients being worked on by multiple developers. To keep everything tracked to double precision, and because we love the taste of dog food, we built o...

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Polished – Modern Authentication for Shiny

August 26, 2019
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We are excited to announce polished. Polished is a new R package that adds modern user authentication and user administration to your Shiny apps. Polished comes with many of the authentication features required by today’s web apps (e.g. user registr...

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PowerPoint Report Generation with Shiny

July 28, 2019
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PowerPoint Report Generation with Shiny

In this post we generate a PowerPoint report from a Shiny app. This is Part 2 from the 3-post series about generating reports with Shiny. Part 1 covered Excel Report Generation with Shiny. See part 1 for a quick intro and description of the Shiny app that can generate Excel, PowerPoint, and PDF reports. PowerPoint Report These are the slides from...

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Excel Report Generation with Shiny

July 21, 2019
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Excel Report Generation with Shiny

R is great for report generation. Shiny allows us to easily create web apps that generate a variety of reports with R. This post details a demo Shiny app that generates an Excel report, a PowerPoint report, and a PDF report: The full Shiny app source code is available here. Also, we included a more basic Shiny app that generates an...

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Adding Firebase Authentication to Shiny

January 2, 2019
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Firebase and Shiny Firebase is a mobile and web application development platform owned by Google. Firebase provides front-end solutions for authentication, database storage, object storage, messaging, and more. Firebase drastically reduces the time ne...

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How to build your own Neural Network from scratch in R

October 8, 2018
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How to build your own Neural Network from scratch in R

Last week I ran across this great post on creating a neural network in Python. It walks through the very basics of neural networks and creates a working example using Python. I enjoyed the simple hands on approach the author used, and I was interested to see how we might make the same model using R. In this post we...

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Machine Learning for Insurance Claims

September 17, 2018
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Machine Learning for Insurance Claims

We are pleased to announce a new demo Shiny application that uses machine learning to predict annual payments on individual insurance claims for 10 years into the future. This post describes the basics of the model behind the above Shiny app, and walks through the model fitting, prediction, and simulation ideas using a single claim as an example. Background Insurance is the...

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shinyFeedback 0.1.0 on CRAN

August 20, 2018
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shinyFeedback 0.1.0 on CRAN

Version 0.1.0 of the shinyFeedback package is now available on CRAN. You can install the latest version by running: install.packages("shinyFeedback") The shinyFeedback package makes it easy to display useful feedback notifications in Shiny apps. Since the initial shinyFeedback CRAN release, it has been able to display short messages, icons, and color changes around several of the standard Shiny input bindings. For...

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Atlanta R Users Presentation

June 9, 2018
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These are the slides from my presentation at the April Atlanta R User meetup. There are not many words on the slides, so you won’t be able to follow the presentation by flipping through the slides. I nonetheless wanted to share them because the prese...

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Example Shiny App – Interest Rate Walk

November 27, 2017
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This Shiny app demonstrates the Cox-Ingersoll-Ross interest rate walk and an interest rate walk conducted using a bootstrap resampling technique. The code used to create this app is available on GitHub. Assuming you have the necessary packages installe...

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