I recently made my first R package and was asked how I did it. The answer of course was: I searched, read, and stumbled around until it was done. But having gone through the process I figured it was worthwhile summarising what I did and what I found tricky. First off, there are a ton […]
Tag: Rstats
Tracking: announcing new R package TrackMateR
A short post to announce TrackMateR, a new R package to analyse TrackMate XML outputs. Code Instructions Background TrackMate is a plug-in for ImageJ which ships with Fiji. It’s essential for single particle tracking work, particularly for microscopy movies. For example, tracking the movement of fluorescent vesicles inside cells. A tracking session generates a TrackMate […]
Wordless Song: Benchmarking Wordle performance using R
A quick post about a puzzle called Wordle that is currently taking over the internet. It’s a mastermind-like game where the object is to guess an unknown 5-letter word. Puzzlers are encouraged to share their results after completing a puzzle. Here is an example for puzzle 192. So how do you know if your performance […]
Target II: Monitoring a running goal in R
As 2021 draws to a close, it’s time to check back in on a previous post. As a recap, Garmin Connect offered four challenges to run 3 x 505 km and 1 x 505 km, one in each of the four quarters of 2021. Completing all four would mean running 2021 km in 2021. I […]
Under The Same Name: Journal titles and band names
Some journals sound like they should be bands. Whereas some journal titles ARE in fact the same as band names. I wondered… how many journal titles are also band names. Let’s find out! The journals cited in PubMed could be downloaded as a text file from here. This list includes every MEDLINE journal – even […]
Over and Over: Preprint revisions on bioRxiv
The aim of this post is to look at revisions of bioRxiv preprints. I’m interested how long preprint versions exist on bioRxiv. In other words: how long do revisions to preprints take? The data from bioRxiv is a complex dataset with many caveats as I’ll explain further down, but some interesting details do emerge. Consider […]
Ten Years vs The Spread II: Calculating publication lag times in R
This post is an update of a previous analysis on quantixed. We have covered publication lag times – the time it takes for a paper go from submitted (received) to accepted and published – a lot on here. It is possible to look at lag times, in R using data from PubMed. Previously my code […]
The Rise and Fall: impact of the COVID-19 pandemic on bioRxiv preprints
As the COVID-19 pandemic continues, different countries are experiencing various restrictions including lockdowns. Some of these restrictions alter our ability to do science: by hindering lab access or taking time away from researchers for homeschooling. So, what impact has the pandemic had on scientific output? One way to look at this – for biology – […]
Os Mutantes: an implausible naming system for SARS-CoV-2 mutants
The scientific response to the COVID-19 pandemic has been astounding. Aside from efforts to generate vaccines, the genomic surveillance of the virus has been truly remarkable. For example, the nextstrain project has sequence many SARS-CoV-2 genomes. In fact, the rapid identification of multiple new strains and mutations by diverse groups of scientists has resulted in […]
Target: monitoring a running goal in R
Many running races and events have been cancelled or disrupted due to the pandemic. To fill the void, I’ve been taking on Garmin’s “Challenges”. In Garmin Connect, you can accept a challenge set by Garmin (I think users can challenge each other too). Completion of these challenges gives the user points, which I’ve become somewhat […]