الدوري الممتاز الهندي 2020

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 updates to document features and technical details. For more ... Continue reading: Improved permanent URL schema for r-universe.dev http://dlvr.it/ShjZW0

Winter started a bit more than one month ago… but we have already experienced many snow storms… there is still a lot snow in gardens and in the streets, I was wondering if it was that unusual, but apparently not. Compared with last year, it is (for the first months ... Continue reading: Snow in Montréal (Canada) http://dlvr.it/Shh3RC

These recordings are part of a set of videos that are available from the free four-week online course Introduction to Bayesian Data Analysis, taught over the openhpi.de portal. Continue reading: Introduction to Bayesian Data Analysis: Video lectures now available on youtube http://dlvr.it/Shg9SB

I made some progress on the cgalMeshes package, that I introduced here. The new version is not on CRAN yet. In particular, one can know assign some properties to the meshes (the cgal... Continue reading: Update of the ‘cgalMeshes’ package http://dlvr.it/ShcBsB

Using the headliner package for data driven ggplot titles Continue reading: Making headlines http://dlvr.it/ShZBYm

Introduction A time series is a set of data points collected at regular intervals of time. Sometimes, the data points in a time series change over time in a predictable way. This is called a stationary time series. Other times, the data points c... Continue reading: ADF and Phillips-Perron Tests for Stationarity using lists http://dlvr.it/ShWT4C

Introduction In the most basic sense for time series, a series is stationary if the properties of the generating process (the process that generates the data) do not change over time, the process remains constant. This does not mean the data doe... Continue reading: Making Non Stationary Data Stationary http://dlvr.it/ShSbmB