Discover the most common carer options available with a degree in statistics, with a description of each role and the required skills to pursue these jobs — This post has been written in collaboration with Daniel Williams. Introduction A reader recently contacted me because he was hesitating between starting his studies in statistics or economics. I studied economics and I am now doing a PhD in statistics, so he reached out to me to know what I thought…

In this post, I highlight the 10 most common errors in R and how to fix them. I also mention a couple of warnings (which are different than errors). — Introduction If you are just starting with R, you will often encounter errors in your code which prevent it to run. I remember when I was just starting to use R, errors in my code were so frequent that I almost gave up learning this programming language. …

Learn how to extract data directly from a web page, referred as web scraping, in R through a real life example — This post has been written in collaboration with Pietro Zanotta. Introduction Almost anyone is familiar with web pages (otherwise you would not be here), but what if we tell you that how you see a site is different from how Google or your browser does? In fact, when you type any…

Learn more about survival analysis (also called time-to-event analysis) and how it is used, and how to apply it by hand and in R — Introduction For the last post of the year, I would like to present a rather unknown (yet important) statistical method: survival analysis. Although survival analysis is a branch of statistics, it is usually not covered in introductory statistics courses and it is rather unknown to the general public. …

Learn how to analyze and visualize Universal Analytics (UA) and Google Analytics 4 (GA4) data for your blog or website via the googleAnalyticsR package in R — Introduction It is almost the end of the year, which means it is time to do a review of Stats and R and look back on the past year. This year’s review will be much shorter compared to previous years because there are already a lot of examples in those previous…

How to smooth epidemic curves and estimate the time-varying reproduction number in a flexible way — Introduction A colleague (and friend) of mine recently published a research paper entitled “EpiLPS: A fast and flexible Bayesian tool for estimation of the time-varying reproduction number” in PLoS Computational Biology. I am not in the habit of sharing research paper to which I did not contribute. Nevertheless, I would like…

R is evolving rapidly and new code are implemented everyday. See how to keep up to date with the latest R news through several twitter feeds and newsletters. — Introduction At the end of one of the training sessions I gave on R, a student asked me the following question: How do you keep yourself updated with the latest R news? It is true that R, being open source (meaning that everyone can contribute), is evolving rapidly. This means that…

Learn when and how to do a one-sample Wilcoxon test in R. See also how to visualize and interpret the results with a concrete example — Introduction In a previous article, we showed how to do a two-sample Wilcoxon test in R. Remember that there are actually two versions of this test: The Mann-Whitney-Wilcoxon test (also referred as Wilcoxon rank sum test or Mann-Whitney U test), used to compare two independent samples. …

What are the probability of winning for each ambassador in the television show Koh-Lanta 2022? Learn how to compute it in R through simulations and examples — Introduction There is a popular TV show broadcasted in France and the french-speaking part of Belgium called “Koh-Lanta”. In this show, several adventurers are dropped off on a desert island with almost no food nor equipment (just a personal backpack with their clothes and a small portion of rice). …