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 […]
Category: fun
Plotlines: the story behind the graph
On a whim a posted a plot on Twitter. It shows a marathon training schedule. This post explains the story behind the graph. I downloaded a few different 17-week marathon training schedules. Most were in imperial measurement and/or were written for time at a certain pace, e.g. 30 min Easy Run etc. I wanted to […]
Experiment Zero: Using a Raspberry Pi Zero camera
This is the first post at quantixed about Raspberry Pi computing. Pi Zero is a minimalist Raspberry Pi that can be coupled to a camera. With this little rig, you can make time-lapse footage amongst other things. I’ve set up a couple of these now. One was to make a time-lapse movie of some plants […]
Pledging My Time IV
The Green Leek 10.5 km run is a mixed terrain race now in its third year. Today’s was a wet and muddy edition. The chip times were posted this afternoon and using my previous code, I took a look at the results. I was a bit disappointed with my time, which was about 24 […]
Multiplex: Small multiple artwork from GPX tracks
I’d seen the small multiple artwork of running and cycling routes from Marcus Volz’s R package Strava all over the web. Ads for “posters of your GPS tracks” pop up on Reddit and I’d notice a few #Rstats people put up their posters on Twitter. I’ve had the package bookmarked for a while and this week […]
Pledging My Time III
I’ve previously crunched times for local Half and Full Marathons here on quantixed. Last weekend was the Kenilworth Half Marathon (2018) over a new course. I thought I’d have a look at the distributions of times and paces of the runners. The times are available here. If the Time and Category for finishers are saved […]
Rip It Up: Grabbing movies from Twitter for use in ImageJ
Some great scientific data gets posted on Twitter. Sometimes I want to take a closer look and this post describes a strategy to do so. Edit: I received a request to take down the 3D volume images derived from the example dataset I used in this post. I’ve edited the post below so that is […]
Turn That Heartbeat Over Again: comparing wrist and chest-strap HRM
As a geek, the added bonus of exercise is the fun that you can have with the data you’ve generated. A recent conversation on Twitter about the accuracy of wrist-based HRMs got me thinking… how does a wrist-based HRM compare with a traditional chest-strap HRM? Conventional wisdom says that the chest-strap is more accurate, but […]
I’m not following you II: Twitter data and R
My activity on twitter revolves around four accounts. Practice note:@clathrin: science, cell biology, sometimes music and cycling/running@roylelab: lab news and announcements, part of @Warwick_CMCB@quantixed: programming, data, nerdery.Opinions my own etc — Steve Royle (@clathrin) May 4, 2018 I try to segregate what happens on each account, and there’s inevitably some overlap. But what about overlap […]
Frankly, Mr. Shankly
I read about Antonio Sánchez Chinchón’s clever approach to use the Travelling Salesperson algorithm to generate some math-art in R. The follow up was even nicer in my opinion, Pencil Scribbles. The subject was Boris Karloff as the monster in Frankenstein. I was interested in running the code (available here and here), so I thought I’d […]