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. […]
Tag: Rstats
Til I Die: Seeking new music
I’ve been following the tweets from an account called Albums You Must Hear @Albums2Hear. Each tweet is an album recommended by the account owner. I’m a sucker for lists of Albums That I Must Hear Before I Die since I’m always interested in new (or not so new) music recommendations. I wanted to assemble a […]
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 […]
Rollercoaster III: yet more on Google Scholar
In a previous post I made a little R script to crunch Google Scholar data for a given scientist. The graphics were done in base R and looked a bit ropey. I thought I’d give the code a spring clean – it’s available here. The script is called ggScholar.R (rather than gScholar.R). Feel free to […]
Ten Years vs The Spread: Calculating publication lag times in R
There have been several posts on this site about publication lag times. You can read them here. Lag times are the delays in the dissemination of scientific data introduced by the process of publishing the paper in a journal. Nowadays, your paper can be online in a few hours using a preprint server. However, this […]
Rollercoaster II: more on Google Scholar citations
I’ve previously written about Google Scholar. Its usefulness and its instability. I just read a post by Jon Tennant on how to harvest Google Scholar data in R and I thought I would use his code as the basis to generate some nice plots based on Google Scholar data. A script for R is below […]
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 […]