Putin’s brutal attack on Ukraine is horrifying in many dimensions. The western world reacted with economic sanctions on Russia, which seem to have strong effects mainly by limiting Russia’s imports (see e.g. this recent online presentation by Nobel-pri...

A few days ago I shared my personal Zoom room link to a few people: https://www.harsh17.in/zoom. The neatness of this in comparison to something like https://zoom.us/j/99672273048?pwd=eXV5R2pBR0FqNlBUWmtLdCt6THl3dz09 was amazing. It had two immediate...

Introduction Data Kruskal-Wallis test Aim and hypotheses Assumptions In R Interpretations Post-hoc tests Dunn test Pairwise Wilcoxon test Combination of statistical results and plot Summary References Introduction In a previous article, we showed how to do an ANOVA in R to compare three or more groups. Remember that, as for ...

High dimensional data spaces are notoriously associated with slower computation time, whether imputation or some other operation. As such, in high dimensional contexts many imputation methods run out of gas, and fail to converge (e.g., MICE, PCA, etc., depending on the size of the data). Further, though some approaches ...

Last week, we posted a tutorial on the different types of data in R (check it out here). In this tutorial, we’re going to talk about the different structures that R provides to help you organize your data. Data structures go hand-in-hand with dat...

We've just had a paper accepted in Computational Brain and Behavior, an open access journal of the Society for Mathematical Psychology. Even though I am not a psychologist, I feel an increasing affinity to this field compared to psycholinguistics ...

Darren Dahly, username @statsepi, asked people on Twitter to share some of their favorite or least favorite data visualizations from the pandemic. I nominated the notorious “cubic fit” ‘forecast’ from the Council of Economic Advisers. But then there wa...

This post is part of a series of technotes about r-universe, a new umbrella project by rOpenSci under which we experiment with various ideas for improving publication and discovery of research software in R. As the project evolves, we will post update...

Are you interested in guest posting? Publish at DataScience+ via your RStudio editor.CategoryVisualizing DataTagsData VisualisationMapsR ProgrammingTips & TricksChoropleths are a nice tool for the visualization of geographic data and with R and Python, their creation can be pretty effortless, especially when clean data is readily available. Fortunately, a lot of ...

Data science is vastly different than programming. We use only four languages – R, Python, Julia, and SQL. Now, SQL is non-negotiable, as every data scientist must be proficient in it. Julia is still the new kid on the block. Many argue which is better – Python or R? But today, we ...

Photo by Khara Woods on Unsplash Whether it’s pulling data from Twitter, accessing the most recent weather information, or tracking where a particular plane is going, application programming interfaces (APIs) are often part of our data science pi...

Data Science on Blockchain with R, Part III: Helium-based IoT is taking over the worldHow big is the people’s network?Helium, the people’s network. Photo from Nima Mot on Unsplash.By Thomas de Marchin and Milana FilatenkovaThomas is Senior Data Scienti...

Gaussian Simulation of Spatial Data Using R Richard E. Plant This post is a condensed version of an Additional Topic to accompany Spatial Data Analysis in Ecology and Agriculture using R, Second Edition. The full version together with the data and R code can be found in the Additional Topics ...