Don’t miss out! Shiny for Good talks at ShinyConf 2023

March 14, 2023 | Joanna Moćko-Łazarewicz

Tomorrow marks the beginning of the second annual ShinyConf 2023 by Appsilon! ShinyConf aims to achieve three main objectives: showcasing recent advancements in R Shiny technology, promoting community engagement among Shiny developers from around the world, and providing a global platform for long-term knowledge sharing and application of state-of-the-art Shiny technology. ...
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alone in Napoli

March 12, 2023 | xi'an

A combinatorics puzzle from The Riddler about a Napoli solitaire where 4 x 10 cards numbered from 1 to 10 are shuffled and the game is lost when a number (1,2, or 3) is equal to its position modulo 3 (1,2 or 3). A simple R code shows that the probability of winning is around […]
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How to Win a Game (or More) of Super Six

March 12, 2023 | Theory meets practice...

Abstract: We use simulation to analyse the family dicing game “Super Six”. In particular we show that the person starting the game has a very high chance of winning the game. Furthermore, a robust strategy to play during the game is to keep throwing the dice regardless of the number ...
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Updated nnlib2Rcpp package

March 12, 2023 | Vasilis Nikolaidis

For anyone interested, ‘nnlib2Rcpp’ package has been updated with several added features. Among other changes, the latest v.0.2.1 of the nnlib2Rcpp package allows users to define the behavior of custom Neural Network (NN) components they create using only R code. This includes custom layers and sets of connections. ... [Read more...]

Almost Bare Bones WebR Starter App

March 12, 2023 | hrbrmstr

Let’s walk through how to set up a ~minimal HTML/JS/CS + WebR-powered “app” on a server you own. This will be vanilla JS (i.e. no React/Vue/npm/bundler) you can hack on at-will. TL;DR: You can find the source to the app and track changes ... [Read more...]

Introduction to data analysis with {Statgarten}.

March 10, 2023 | jhk0530

Overview Data analysis is a useful way to help solve problems in quite a few situations. There are many things that go into effective data analysis, but three are commonly mentioned 1. defining the problem you want to solve through data analysis 2. meaningful data collected 3. the skills (and expertise) to analyze ...
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Spatial Data Wrangling with R workshop

March 10, 2023 | Dariia Mykhailyshyna

Learn how to wrangle spatial data in R ! Join our workshop on Spatial Data Wrangling with R: A Comprehensive Guide which is a part of our workshops for Ukraine series.  Here’s some more info:  Title: Spatial Data Wrangling with R: A Comprehensive Guide Date: Thursday, April 6th, 18:00 – 20:00 CEST (Rome, ... [Read more...]
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