Learn how to perform a one-way Analysis Of VAriance (ANOVA) by hand to compare a quantitative measure between three groups or more — Introduction An ANOVA is a statistical test used to compare a quantitative variable between groups to determine if there is a statistically significant difference between several population means. In practice, it is usually used to compare three or more groups. However, in theory, it can also be done with only two…

Learn how to scrape Yahoo search engine results with R using the {rvest} package — Introduction Web scraping is the process of extracting data from websites. It is usually done in an automated manner to obtain a large amounts of data through various websites, without the need to gather data by hand. In a previous post, we introduced this method and illustrated it with a Wikipedia…

Learn how to do a two-way ANOVA in R. You will also learn its aim, hypotheses, assumptions, and how to interpret the results. — Introduction The two-way ANOVA (analysis of variance) is a statistical method that allows to evaluate the simultaneous effect of two categorical variables on a quantitative continuous variable. The two-way ANOVA is an extension of the one-way ANOVA since it allows to evaluate the effects on a numerical response of two categorical…

I am happy to announce that a paper I contributed to has been accepted for publication in Open Forum Infectious Diseases (Truong et al. 2023). This study investigates bacterial meningitis among children aged under five years in Southern Vietnam for the last 10 years. Read more here. I hope this…

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…