Rogue Scholar Beiträge

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Over the holidays, I had an idea about looping an animation between two images. I wrote some code to do this in Igor Pro (sorry, no R this time…). This post describes how the code works and how you can make a similar animation. There was a reason to do this animation, but as a proof of principle I used two band logos.

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A while ago, I set up a couple of Raspberry Pi Zero cameras to make long-term time lapse movies. To recap: the idea was to take pictures every ten minutes and turn them into a movie. The process is totally automated so that every day, the photos from each Pi get saved to a server, and then processed into a movie that gradually gets longer and longer. At the end of the week, if the back up went OK, the photos get deleted from the Pi’s SD card.

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I have been running a pi-hole to block ads on my home network for a while. It’s great! Not only are ads blocked, but it speeds up internet browsing because… the ads do not load. I wondered if it would be possible to use a pi-hole to make a child-safe internet experience to protect the little people in the house. Sure, there are ways to do this in most routers but they are not ideal.

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Time for an update to a previous post. For the past few years, I have been using an automated process to track citations to my lab’s work on Google Scholar (details of how to set this up are at the end of this post). Due to the nature of how Google Scholar tracks citations, it means that citations get added (hooray!) but might be removed (booo!). Using a daily scrape of the data it is possible to watch this happening.

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Garmin Connect has a number of plots built in, but to take a deeper dive into all your fitness data, you need to export a CSV and fire up R. This post is a quick guide to some possibilities for running data.  There’s a few things that I wanted to look at. For example, how does my speed change through the year? How does that compare to previous years? If I see some trends, is that the same for short runs and long runs?

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Our lab is international. People born all over the world have come to work in my group. I’m proud of this fact, especially in the current political climate. I’ve previously used the GoogleMaps API to display a heat map on our lab webpage. It shows where in the world people in the lab come from. This was OK, but I wanted to get an R based solution to make this graphic to make it easier to automate updates.

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This week Erick Martins Ratamero and I put up a preprint on vesicle packing. This post is a bit of backstory but please take a look at the paper, it’s very short and simple. The paper started when I wanted to know how many receptors could fit in a clathrin-coated vesicle. Sounds like a simple problem – but it’s actually more complicated.