Year: 2020

657. Tidymodels: tidy machine learning in R 658. The Seven Key Things You Need To Know About dplyr 1.0.0 659. Introduction to Data Science 660. When Is Anonymous Not Really Anonymous? 661. Empirical Papers for Teaching Causal Inference 662. Why log ratios are useful for tracking COVID-19 663. Effect Sizes and Power for Interactions in […]

I begyndelsen af 2020 havde de færeste nok forestillet sig, at det største emne på den offentlige dagsorden – og i vores daglige liv – ville blive coronavirussen (COVID-19). Min forventning er, at coronavirussen vil øge uligheden i samfundet — økonomisk, socialt, kulturelt og politisk. Dette ikke ved at der bliver gennemført radikale ændringer i […]

In the April issue of Journal of Research in Personality, we (Joseph A. Vitriol, Steven G. Ludeke and I) have an article titled Just as WEIRD? Personality traits and political attitudes among immigrant minorities. Here is the abstract: A large body of literature has examined how personality traits relate to political attitudes and behavior. However, […]

Simpsons paradoks kan forstås som et fænomen, hvor der er en korrelation mellem to variable i en bestemt retning, evt. en positiv korrelation, men som er produktet af korrelationer i en modsat retning inden for bestemte grupper. Figur 1 nedenfor viser dette illustreret med karakterer fra The Simpsons. Bemærk dog, at Simpsons paradoks er opkaldt […]

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 […]