What is Quarto? Prerequisites 1. Create a new Quarto website project Troubleshooting 2. Edit your Quarto website 3. Add a page to your website 4. Add R code to your website 5. Serve your website using Netlify Optional: If want to keep the site for longer than 1h 6. Update your website Optional advanced: automatic deploys via GitHub I’ve put together a quick ‘getting started with Quarto and Netlify and GitHub (optional) workshop’.
The HealthyR Advent Calendar 2022 was a series of 24 R tips I shared on Twitter last December It is based on “R for Health Data Science” by Harrison and Pius. Use JKL20 for 20% off, including free worldwide shipping. Here’s a selection of the most popular ones, all 24 can be fount at this website: https://healthyradvent.netlify.app/ More information about HealthyR, including the book and freely available resources can be found at: https://healthyr.
There are several different ways to make maps in R, and I always have to look it up and figure this out again from previous examples that I’ve used. Today I had another look at what’s currently possible and what’s an easy way of making a world map in ggplot2 that doesn’t require fetching data from various places. TLDR: Copy this code to plot a world map using the tidyverse:
There’s some explanation on what reshaping data in R means, why we do it, as well as the history, e.g., melt() vs gather() vs pivot_longer() in a previous post: New intuitive ways for reshaping data in R That post shows how to reshape a single variable that had been recorded/entered across multiple different columns. But if multiple different variables are recorded over multiple different columns, then this is what you might want to do:
NA - Not Available/Not applicable is R’s way of denoting empty or missing values. When doing comparisons - such as equal to, greater than, etc. - extra care and thought needs to go into how missing values (NAs) are handled. More explanations about this can be found in the Chapter 2: R basics of our book that is freely available at the HealthyR website This post lists a couple of different ways of keeping or discarding rows based on how important the variables with missing values are to you.
TLDR: You can teach R on people’s own laptops without having them install anything or require an internet connection. Members of the Surgical Informatics team in Ghana, 2019. More information: surgicalinformatics.org Introduction Running R programming courses on people’s own laptops is a pain, especially as we use a lot of very useful extensions that actually make learning and using R much easier and more fun. But long installation instructions can be very off-putting for complete beginners, and people can be discouraged to learn programming if installation hurdles invoke their imposter syndrome.
TLDR: there are two new and very intuitive R functions for reshaping data: see Examples of pivot_longer() and pivot_wider() below. At the time of writing, these new functions are extremely fresh and only exist in the development version on GitHub (see Installation), we should probably wait for the tidyverse team to officially release them (in CRAN) before putting them into day-to-day use. Exciting! Introduction The juxtapose of data collection vs data analysis: data that was very easy to collect, is probably very hard to analyse, and vice versa.
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