Hello and welcome to this new issue! Release Date: 2020-06-01 This week’s release was curated by Jonathan Carroll, with help from the RWeekly team members and contributors. How to have...continue reading.
Abstract: We look at superspreading in infectious disease transmission from a statistical point of view. We characterise heterogeneity in the offspring distribution by the Gini coefficient instead of the usual...continue reading.
So, first off: I just finished a Thinkful data science in python bootcamp program that was supposed to take six … Continue reading →continue reading.
Updated: May 2020 by Appsilon Data Science How to Work Faster in RStudio In this article we have compiled many of our favorite RStudio keyboard shortcuts, tips, and tricks to...continue reading.
Despite their advantages, Dynamic Shiny Modules can destabilize the Shiny environment and cause its reactive graph to be rendered multiple times. In this blogpost, I present how to remove deleted...continue reading.
PixelCNN is a deep learning architecture – or bundle of architectures – designed to generate highly realistic-looking images. To use it, no reverse-engineering of arXiv papers or search for reference...continue reading.
One hundred forty-eight new packages made it to CRAN in April. Here are my “Top 40” picks in nine categories: Computational Methods, Data, Machine Learning, Medicine, Science, Statistics, Time Series,...continue reading.
Use tidymodels for unsupervised dimensionality reduction.continue reading.
Data Scientists Face an Existential Crisis The term data scientist has always been a bit controversial. William Cleveland coined the term in 2001 to advocate the practical use of statistics...continue reading.
Today we are excited to announce the QBits Workspace to run and deploy R code in the browser. QBits enable you to run R in a serverless cloud environment and...continue reading.
Lately I’ve been publishing screencasts demonstrating how to use the tidymodels framework, from first steps in modeling to how to evaluate complex models. Today’s screencast isn’t about predictive modeling, but...continue reading.
Today we’re excited to announce the general release of RStudio 1.3. This release features many major improvements to the IDE, including: Dramatically improved accessibility for sight-impaired users, which also upgrades...continue reading.
COVID-19 disease spread hit the World really globally and also the field of mathematicians/ statisticians/ machine learning researchers and related. These experts want to help to understand for example future...continue reading.
Today we’re excited to announce the general release of RStudio 1.3. This release features many major improvements to the IDE, including: Dramatically improved accessibility for sight-impaired users, which also upgrades...continue reading.
Data Scientists Face an Existential Crisis The term data scientist has always been a bit controversial. William Cleveland coined the term in 2001 to advocate the practical use of statistics...continue reading.
May 28th (8:00pm UTC+2) will bring another fascinating Webinar at Why R? Foundation. We will have a joint talk by Bernd Bischl, Florian Pfisterer and Martin Binder about Pipelines and...continue reading.
I am very pleased to announce that tidylo, a package for weighted log odds using tidy data principles, is now on CRAN! ???? I would like to send my warmest...continue reading.
We’re delighted to announce that tidyr 1.1.0 is now available from CRAN. tidyr provides a set of tools for transforming data frames to and from tidy data, where each variable...continue reading.
Ryan A. Estrellado is a public education leader and data scientist helping administrators use practical data analysis to improve the student experience. Chicken Farm in the Open In 2017, Emily...continue reading.
Measure how the frequency of some feature differs across some group or set, using the weighted log odds.continue reading.
GIS / R / R News / Shiny / Visualization
Interactive visualization of geospatial data with R Shiny
April 17, 2021
