Articles by Posts on Tychobra

polished 0.6.0 is now on CRAN!

February 22, 2022 | Posts on Tychobra

The newest release of polished, 0.6.0, is now on CRAN. The biggest user facing enhancement of this release is the new ability to secure R Markdown documents using Polished Auth. The secured R Markdown output can be a static document, or it can use t...
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Polished Now Supports Shiny Rmds

February 9, 2022 | Posts on Tychobra

tldr: You can now use polished to secure Rmarkdown documents that use the shiny runtime. This includes flexdashboards! For example, if you have a flexdashboard that uses shiny. e.g. Your Rmd Shiny App With a single function call, you can add a...
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New Polished Feature – User Roles

September 29, 2020 | Posts on Tychobra

Polished is an R package that adds authentication and user administration to your Shiny apps. We continue to push forward with new improvements and are happy to introduce a new feature: user roles Under the hood, user roles are just strings that y...
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A Dashboard of Shiny Apps

July 16, 2020 | Posts on Tychobra

We build a lot of Shiny apps. Once we have more than a couple related Shiny apps, it often makes sense to create a dashboard for our Shiny apps. A dashboard of Shiny apps allows users to easily visualize available apps and navigate between apps. This p...
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Introducing Polished.tech

June 29, 2020 | Posts on Tychobra

Polished.tech is our new software service that makes it easier than ever to add modern authentication to your Shiny apps. Implementing authentication from scratch is inefficient and increases the probability of security vulnerabilities. Hand roll... [Read more...]

My Favorite dplyr 1.0.0 Features

May 26, 2020 | Posts on Tychobra

As you are likely aware by now, the dplyr 1.0.0 release is right around the corner. I am very excited about this huge milestone for dplyr. In this post, we’ll go over my favorite new features coming in the 1.0.0 release.
# Install development version of dplyr
remotes::install_github(
  "tidyverse/dplyr", 
  ref = "23c166fa7cc247f0ee1a4ee5ac31cd19dc63868d"
)
Note: in the above call to install_github(), I ...
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Using XGBoost with Tidymodels

May 18, 2020 | Posts on Tychobra

Background XGBoost is a machine learning library originally written in C++ and ported to R in the xgboost R package. Over the last several years, XGBoost’s effectiveness in Kaggle competitions catapulted it in popularity. At Tychobra, XGBoost is our go-to machine learning library. François Chollet and JJ Allaire ...
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shinyFeedback 0.2.0 CRAN Release

April 28, 2020 | Posts on Tychobra

I am excited to announce that shinyFeedback 0.2.0 is on its way to CRAN (it may take a day or 2 for it to be available on your CRAN mirror). shinyFeedback is an R package that allows you to easily display user feedback in Shiny apps. shinyFeedback’s ...
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Shiny CRUD

January 28, 2020 | Posts on Tychobra

NOTE: This post assumes knowledge of R and Shiny and some familiarity with databases. If you are new to R and Shiny, there are great learning resources at https://shiny.rstudio.com/. If you are comfortable with R and Shiny, but the idea of persistent d...
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Meet T3 – Tychobra Time Tracker

September 3, 2019 | Posts on Tychobra

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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PowerPoint Report Generation with Shiny

July 28, 2019 | Posts on Tychobra

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 ...
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Excel Report Generation with Shiny

July 21, 2019 | Posts on Tychobra

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. ...
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Machine Learning for Insurance Claims

September 17, 2018 | Posts on Tychobra

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 ...
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