The commute to my workplace is 90 minutes each way. Podcasts are my friend. I’m a long-time listener of In Our Time and enjoyed the recent episode about The Danelaw. Melvyn and I hail from the same part of the world, and I learned as a child that many of the local place names there … Continue reading Mapping...
When this blog moved from bioinformatics to data science I ran a Twitter poll to ask whether I should start afresh at a new site or continue here. “Continue here”, you said. So let’s test the tolerance of the long-time audience and celebrate the start of the 2019 season as we venture into the world … Continue reading How...
“Sydney stations where commuters fall through gaps, get stuck in lifts” blares the headline. The story tells us that: Central Station, the city’s busiest, topped the list last year with about 54 people falling through gaps Wow! Wait a minute… Central Station, the city’s busiest Some poking around in the NSW Transport Open Data portal … Continue reading This...
Nothing new or original here, just something that I learned about quite recently that may be useful for others. One of my more “popular” code repositories, judging by Twitter, is – well, Twitter. It mostly contains Rmarkdown reports which summarise meetings and conferences by analysing usage of their associated Twitter hashtags. The reports follow a … Continue reading Using...
For better or worse I spend some time each day at Stack Overflow , reading and answering questions. If you do the same, you probably notice certain features in questions that recur frequently. It’s as though everyone is copying from one source – perhaps the one at the top of the search results. And it … Continue reading An...
Chains of amino acids strung together make up proteins and since each amino acid has a 1-letter abbreviation, we can find words (English and otherwise) in protein sequences. I imagine this pursuit began as soon as proteins were first sequenced, but the first reference to protein word-finding as a sport is, to my knowledge, “Price’s … Continue reading Price’s...
The recent ABC News article Australia’s pollution mapped by postcode reveals nation’s dirty truth is interesting. It contains a searchable table, which is useful if you want to look up your own suburb. However, I was left wanting more: specifically, the raw data and some nice maps. So here’s how I got them, using R. … Continue reading Extracting...
You can file this one under “I may have the very specific solution if you’re having exactly the same problem.” So: if you’re running some R code and you see a warning like this: Warning message: In checkMatrixPackageVersion() : Package version inconsistency detected. TMB was built with Matrix version 1.2.14 Current Matrix version is 1.2.15 … Continue reading Using...
Sydney’s congestion at ‘tipping point’ blares the headline and to illustrate, an interactive chart with bars for city population densities, points for commute times and of course, dual-axes. Yuck. OK, I guess it does show that Sydney is one of three cities that are low density, but have comparable average commute times to higher-density cities. … Continue reading Just...
I love it when researchers take the time to share their knowledge of the computational tools that they use. So first, let me point you at Environmental Computing, a site run by environmental scientists at the University of New South Wales, which has a good selection of R programming tutorials. One of these is Making … Continue reading Using...
