646. Why outbreaks like coronavirus spread exponentially, and how to “flatten the curve” 647. Top 15 R resources on Novel COVID-19 Coronavirus 648. Collection of analyses, packages, visualisations of COVID19 data in R 649. Coronavirus (Covid-19) Data in the United States 650. How to Flatten the Curve, a Social Distancing Simulation and Tutorial 651. Forecasting […]
Category: statistics
New resource: awesome-ggplot2
I use ggplot2 every day. It is a great R package and the best tool available to make beautiful data visualisations. The logic of grammar of graphics makes it easy to learn as well as making it possible for you to gradually improve your plots. Luckily, there are a lot of resources available for the […]
Spuriøs sammenhæng
En spuriøs sammenhæng er en korrelation mellem to variable, der ikke er kausal, da en tredje variabel eller tilfældigheder er grunden til, at der er en korrelation mellem de to variable. Oftest tales der om en spuriøs sammenhæng, når en sammenhæng ikke er korrekt eller som teoretisk forventet. Simon (1954) opererer således med en distinktion […]
Potpourri: Statistics #62
632. Applied Bayesian Statistics Using Stan and R 633. Understanding Maximum Likelihood: An Interactive Visualization 634. Creating MS Word reports using the officer package 635. Shiny: Add/Removing Modules Dynamically 636. Pollsters got it wrong in the 2016 election. Now they want another shot. 637. Webscraping with R – from messy & unstructured to blisfully tidy […]
Potpourri: Statistics #61
616. Fairness and machine learning 617. How to Be a Statistical Detective 618. Overfitting: a guided tour 619. No Framework, No Problem! Structuring your project folder and creating custom Shiny components 620. Revisiting the Difference-in-Differences Parallel Trends Assumption: Part I Pre-Trend Testing 621. The Trouble with Crime Statistics 622. Data project checklist 623. Data Science […]