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mpadge.bsky.social
mark padgham
@mpadge.bsky.social
1.4K followers 340 following 17 posts
Software for a better world. All open source, all the time. Committed to transport with wheel counts of zero, two (preferred), or many (trains). urbananalyst.city, ropensci.org, github.com/mpadge
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Reposted by mark padgham
ropensci.org
February news! 📨 #rstats

📜 Open Science and Open Source only with Diversity, Equity, Inclusion, and Accessibility

🎉 New rOpenSci Champion(a|e)s Program cohort

🤝 @mpadge is now Software Review Lead (Former lead @noamross became director last year)

🎙️ “This is Tech Talks” episode with […]
Original post on hachyderm.io
hachyderm.io
February 27, 2025 at 9:09 AM
Reposted by mark padgham
coatless.bsky.social
By request: Simulate random street walks 🚶‍♂️ in #rstats #shiny! Pick any city, set bounding box + walks to visualize paths via #OpenStreetMap 🗺️. (Note: paths may be problematic!)

💻 Code: github.com/coatless-shi...
Main map view of the app centered on Stanford University campus with a 2km bounding box shown as a dashed line. The left panel contains input parameters: City Name (Stanford), Bounding Box Size (2 km), Number of Steps (100), Number of Walks (5), and a 'Generate Random Walks' button. Several colored walk paths are visible on the map. Statistics dashboard displaying three main sections: Walk Metrics, Average Metrics, and Walk Extremes. Walk Metrics shows Total Distance (1.6 km), Network Coverage (0.3%), and Unique Streets (24). Average Metrics includes statistics like Distance per Walk (0.3 km) and Step Length (3.3 m). Walk Extremes shows the Longest Walk (0.6 km) and other extremes. Individual Walks view showing a detailed map with a single random walk plotted in red. A triangle marks the start point and a square marks the end point. The left panel displays Walk Selection and Walk Details, including Distance (0.5 km), Number of Turns (1), and Intersections (0). Help page of the Random Walks on Streets app showing a Quick Start Guide with three steps: Choose a City, Set Parameters, and Generate & Explore. Below are detailed Parameters Guide and Features Guide sections, followed by Tips & Troubleshooting with performance tips and common issues.
December 23, 2024 at 11:27 AM
mpadge.bsky.social
The amazing #RStats CRAN team demonstrating that they (exponentially!) scale
CRAN weekly package submissions
January 17, 2025 at 11:43 AM
mpadge.bsky.social
@trainspiration.bsky.social I like your claim about no one living more than 1/2mile from a station. Let me know if you need tools to measure that. My urbananalyst.city platform measures distances to schools, and distances to transport are all in there, just not exposed at the moment.
UA
Urban Analyses for the world
urbananalyst.city
November 29, 2024 at 2:25 PM
Reposted by mark padgham
ropensci.org
[blog] Give Thanks with the allcontributors Package 🙏

Discover the {allcontributors} package in this post by its maintainer @mpadge ✨

In the spirit of Thanksgiving, we encourage all developers of packages both within rOpenSci and beyond to acknowledge contributions wherever and whenever […]
Original post on hachyderm.io
hachyderm.io
November 26, 2024 at 8:36 AM
mpadge.bsky.social
New @rOpenSci.hachyderm.io.ap.brid.gy blog post about my allcontributors package ropensci.org/blog/2024/11... - a great way to give thanks to all contributions to your open-source software projects.
Give Thanks with the allcontributors Package
The allcontributors package helps to given thanks to software contributions
ropensci.org
November 26, 2024 at 9:20 AM
Reposted by mark padgham
davidho.bsky.social
A person on a bicycle is by far the most energy-efficient among animals and machines per distance traveled relative to body weight. The bicycle is magic.

www.jstor.org/stable/24923...
A graph titled "Cost of Transport" showing the relationship between body weight (in kilograms) and energy consumption for distance traveled (calories per gram per kilometer) for various animals and machines. It highlights that a person on a bicycle ranks first in efficiency.
November 24, 2024 at 11:12 PM
mpadge.bsky.social
How people describe themselves is so endlessly fascinating. If that's all there is to this bluesky thing, then maybe that's enough. A fabulous example: "Vegetarian studying cows". Nice one @solivaz.bsky.social
November 10, 2024 at 11:35 AM
mpadge.bsky.social
What do y'all think of my first-cut attempt at "Good enough practices for language model packages"? It's intended to apply to open source software, and possibly to help guide adaptation of @rOpenSci's software review process. docs.ropensci.org/pkgmatch/art...
Good-enough practices for language model packages
docs.ropensci.org
November 8, 2024 at 8:46 AM
mpadge.bsky.social
👍 for that. And now we archers get to say, Hey, it's what Steam is built in, and so should you
nikomo.fi nikomo @nikomo.fi · Nov 2
arch
November 2, 2024 at 8:41 AM