Robust Regressions in R CategoriesRegression Models Tags Machine Learning Outlier R Programming Video Tutorials It is often the case that a dataset contains significant outliers – or observations that are significantly out of range from the majority of other observations in our dataset. Let us see how we can use robust ...

With more than 1,500 satisfied participants, eodas R-trainings are the leading courses for the programming language in the German-speaking region. In May, 2019, we bring our popular courses „Introduction to R“ and…

I've just updated The Popularity of Data Science Software to reflect my take on Gartner's 2019 report, Magic Quadrant for Data Science and Machine Learning Platforms. To save you the trouble of digging through all 40+ pages of my report, here's just the updated section: Continue reading →

We are pleased to introduce the blorr package, a set of tools for building and validating binary logistic regression models in R, designed keeping in mind beginner/intermediate R users. The package includes: comprehensive regression output variable selection procedures bivariate analysis, model fit statistics and model validation tools various plots ...

We are pleased to introduce the blorr package, a set of tools for building and validating binary logistic regression models in R, designed keeping in mind beginner/intermediate R users. The package includes: comprehensive regression output variable selection procedures bivariate analysis, model fit statistics and model validation tools various plots ...

I am putting together a brief lecture introducing causal inference for graduate students studying biostatistics. As part of this lecture, I thought it would be helpful to spend a little time describing directed acyclic graphs (DAGs), since they are an extremely helpful tool for communicating assumptions about the causal relationships ...

Introduction stats19 is a new R package enabling access to and working with Great Britain’s official road traffic casualty database, STATS19. We started the package in late 2018 following three main motivations: The release of the 2017 road crash statistics, which showed worsening road safety in some areas, increasing the importance ...

Hugo Bowne-Anderson, the host of DataFramed, the DataCamp podcast, recently interviewed Reshama Shaikh, organizer of the meetup groups Women in Machine Learning & Data Science (otherwise known as WiMLDS) and PyLadies. Here is the podcast link. Introducing Reshama Shaikh Hugo: Hi there, Reshama, and welcome to DataFramed. Reshama: Hello, Hugo. Thank ...

We forgot to say: R Journal Volume 10/2, December 2018 is out! A huge thanks to the editors who work very hard to make this possible. And big “thank you” to the editors, referees, and journal for helping improve, and for including our note on pipes in R.