Publications by R on Stats and R
Web scraping in R
Introduction HTML and CSS Web scraping vs. APIs Why does web scraping exist if APIs are so powerful and do exactly the same work? Web scraping in R rvest HTTP GET request Parsing HTML content CSS selector XPath Getting attributes A real application of web scraping in R HTTP GET request Parsing HTML content and getting attributes Analysis...
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Paper: ‘EpiLPS: A fast and flexible Bayesian tool for estimation of the time-varying reproduction number’
Introduction Motivation Getting started A simulated example Smoothing the epidemic curve and estimating \(\mathcal{R}_t\) USA hospitalization data References Introduction A colleague (and friend) of mine recently published a research paper titled “EpiLPS: A fast and flexible Bayesian tool for estimation of the time-varying reproduction numbe...
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What is survival analysis? Examples by hand and in R
Introduction What is survival analysis? Why do we need special methods for survival analysis? Common functions in survival analysis Survival function Cumulative hazard function Hazard function Estimation By hand In R Hypothesis testing Log-rank test By hand In R To go further References Introduction For the last post of the year, I would ...
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How to keep yourself updated with the latest R news?
Introduction How do I keep track? Twitter Newsletters Conclusion 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 ...
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Paper: ‘Semi-Markov modeling for cancer insurance’
I am happy to announce that our paper entitled “Semi-Markov modeling for cancer insurance” has been accepted for publication in the European Actuarial Journal. Advancements in medicine and biostatistics have already resulted in a better access to insurance for people diagnosed with cancer. This materializes into the “right to be forgotten�...
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Koh-Lanta 2022: the ambassadors probability problem
Introduction Before 2022 In 2022 Probabilities computation in R First draw Second draw Third draw Game limited to 3 draws Game limited to 5 draws Game limited to 100 draws Game limited to the number of necessary draws Final winning probabilities Visual representations Coded into a function Conclusion Introduction There is a popular TV show bro...
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One-sample Wilcoxon test in R
Introduction When? Data How? Combine statistical test and plot References 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 indepe...
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How to install R and RStudio?
What is R and RStudio? R RStudio The main components of RStudio Examples of code Calculator Comments Store and print values Vectors Matrices Generate random values Plot What is R and RStudio? R The statistical program R is nothing more than a programming language, mainly used for data manipulation and to perform statistical analyses. At the ti...
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How to install R and RStudio?
What is R and RStudio? R RStudio The main components of RStudio Examples of code Calculator Comments Store and print values Vectors Matrices Generate random values Plot What is R and RStudio? R R is nothing more than a programming language. At the time of writing, this language is (one of) the leading program in statistics, although not the on...
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How to import an Excel file in RStudio?
Introduction Transform an Excel file to a CSV file R working directory Get working directory Set working directory User-friendly method Via the console Via the text editor Import your dataset User-friendly way Via the text editor Import SPSS (.sav) files Introduction As we have seen in this article on how to install R and RStudio, R is useful ...
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