Googling “heatmap format excel” returns a lot of results. Here we will see how to do a heatmap formatting with a DT table in R. The dataset we use provides the average monthly temperatures o... [Read more...]

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Intruduction Reading in an Excel file with multiple sheets can be a daunting task, especially for users who are not familiar with the process. In this blog post, we will walk through a sample function that can be used to read in an Excel file wi... [Read more...]

tabular example turn it to a flextable Use row separator Enrich with flextable Add into a document The package ‘flextable’ (Gohel and Skintzos 2023) provides a method as_flextable() to benefit from table objects created with package ‘tables’ (Murdoch 2023). Function tables::tabular() is a powerful tool that let users easily create ... [Read more...]

Tips for using chatGPT to learn R ChatGPT can help you learn R code. Here are some tips my team and I have worked out for ways to use the model to help with learning R. There is also an askgpt package now that is meant to integrate ChatGPT directly ... [Read more...]

Making predictions from GAMs in R explained by an 18th century author As explained by ChatGPT with some minor edits by me. This post is an example for my post “Tips for using chatGPT to learn R” Pray, let us first summon the mgcv package, that we may... [Read more...]

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My son has been learning Python and wanted to know how many rounds does it take, on average, for someone to win the game of war. If you are not familar with the game, it is a two player game where each player gets half a deck of cards (26). For ... [Read more...]

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It’s cherry blossom time… A nice dataset going back to the year 812 in Kyoto can be found here. It describes the phenological data for full flowering date of cherry tree (Prunus jamasakura) in Kyoto, showing springtime climate changes. Let’s draw… [Read more...]

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To detect small effects in experiments you need to reduce the experimental noise as much as possible. You can do it by working with larger sample sizes, but that doesn’t scale well. A far better approach consists in controlling for covariates that are correlated with your response. I recently ... [Read more...]

This old post sees a little traffic from search engines but is a mess after many editions due to the packages evolutions. So, how can we (chose your term) append, merge, union or combine many shapefiles or other spatial vector data in 2023 with R, preferably using tidyverse functions ? For good ... [Read more...]

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Introduction In this blog post, we’ll walk through how to create a shiny application that allows users to analyze the weekly returns of FAANG stocks (AAPL, AMZN, FB, GOOGL, and NFLX) using the {tidyquant} and {TidyDensity} packages in R. Sectio... [Read more...]