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#rstats

52 posts · Last used 13d

tillt @tillt@mastodon.social
· 3w ago
Looking to hire a data scientist for cancer research support, public health data analysis and geo data visualization. Remote in US Experienced in R and/or Python ecosystems. Familiar with web technologies like HTML, CSS, HTTP. We use a lot of R, quarto, ggplot2, gt, sf, tidyverse, targets. Position is expected to contribute to research manuscripts. DM me for details! #getFediHired #fediHired #rstats #dataScience #publicHealth
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troyhernandez @troyhernandez@mastodon.social
· 3w ago
Boosted by @welcome@friends.deko.cloud
Hi, I’m Troy. I build open-source tools in R. My agent harness, corteza, scored 98.6% on ARC-AGI-3’s 25 public games with Claude Opus 5 at xhigh, completing all 183 levels. The harness writes and reuses functions in a persistent R workspace. Functions and data survive conversation compaction. I wrote up the results, failures, and fixes: https://cornball.ai/posts/corteza-arc-agi-3/ #Introduction #rstats #AI
cornball.ai

98.6% on ARC-AGI-3 in R

corteza, an R-native RLM harness, scored 98.58% on ARC-AGI-3. Across 25 games the model wrote 894 R helpers and kept calling them, 53 of them from before its context was compacted.

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Elen Le Foll 🇫🇷 🇬🇧 🇩🇪 @ElenLeFoll@fediscience.org
· 3w ago
In my "Introduction to Data Analysis in R for Linguists" seminar (based on my textbook: https://elenlefoll.github.io/RstatsTextbook/) I spend a lot of time on project management, file naming conventions, file formats, and reproducible workflows using Quarto. Some might consider it a waste of time because it means I have less time for other things (sorry ANOVAS, you're out!). However, this latest round of term papers has, once again, proven that this is well-invested time: my students are delivering fully reproducible term papers in Quarto format and, because they have a firm grasp of the basics, those that are motivated learn far more complex things than what I've taught them to complete really quite ambitious projects. Today's heartwarming quote from a [female] M.A. student: "I ended up having a lot of fun getting into the more technical, coding-heavy side of things, which surprised me! So thank you for that." And many go on to use R and Quarto for their MA theses! 🥰 #Quarto #RStats #linguistics #HigherEd
elenlefoll.github.io

Data Analysis for the Language Sciences

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Eugene @datastory@mstdn.ca
· 1mo ago
☝️ What happens when you treat terrain morphometry like satellite bands? ⚙️ An experimental RGB composite of an industrial micro-catchment in Kryvyi Rih, synthesized directly from DEM hydro-conditioned derivatives: 🔹 Red: Channel Network Distance (hydraulic connectivity) 🔹 Green: Total Catchment Area / Flow Accumulation (upscale contributing mass) 🔹 Blue: LS-Factor / Slope Length-Steepness (RUSLE physical erosion capacity). ⚙️ The color mixing immediately separates the basin into physical domains: 🔹 Bright magenta/neon ribbons: Critical erosion and transport vectors where steep slope length converges with active channel flow. 🔹 Vibrant green zones: Planar accumulation sectors and potential geochemical sedimentation traps. 🔹 Dark interfluves: Geomorphologically stable plateau surfaces. #Geomorphometry #Hydrology #SpatialData #RStats #SAGAGIS #TerrainAnalysis #DEM #EnvironmentalGeology #GIS #DataVisualization #InhuletsRiver
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Eugene @datastory@mstdn.ca
· 1mo ago
⚠️ Why standard GIS routing (D8, Sink Fill) fails in complex mining regions: 300m open pits become fake "lakes", and underground river tunnels are completely ignored. To map surface drainage across central Kryvyi Rih, I built a custom DEM hydro-conditioning pipeline: 🔹 Selective sink filtering (true pits vs DEM noise) 🔹 Subsurface conduit burn-in (diversion tunnels) 🔹 Closed micro-catchment delineation Crucial for geochemical transport & geotechnical risks. 🛠️ #RStats (#terra, #Rsagacmd), #QGIS, #SAGAGIS #GIS #Hydrology #HydroEnforcement #FOSSGIS #Mining #Geospatial #KryvyiRih #DigitalTerrainAnalysis
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Jumping Rivers @jumpingrivers@fosstodon.org
· 2mo ago
Positron is Posit’s newer IDE for data science, built for R and Python. Posit Assistant brings AI into the workflow. Join Kia Mack on 13 August for live demos comparing Positron with RStudio and testing Posit Assistant on everyday data science tasks. See where the tools help, where they get in the way, and whether they belong in your workflow. 🕐 1:15pm UK time 💻 Free and online Register: https://jumpingrivers.typeform.com/to/UmdyNbAs #RStats #Python #Posit
jumpingrivers.typeform.com

Webinar Form

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Eugene @datastory@mstdn.ca
· 2mo ago
🛠 What does an end-to-end open-source stack look like for an independent hydrogeochemical monograph? Doing full-cycle research—from thermodynamic calculations to print-ready LaTeX typesetting—requires a synchronized toolkit. Here is the exact stack: 🧪 Thermodynamics & Analytics: • #PHREEQC 3.7.3 for aqueous speciation&equilibrium modeling. • #Rstats Stack: RedModRphree, ggtern, sf/terra, tidyverse (ETL). 🗺 GIS & Literature Search: • #QGIS for spatial alignment & cartography. • #Recoll for local full-text search across reference databases. 📚 Typesetting & Reproducibility: • #LaTeX2e + #TeXStudio + #JabRef for typography & #BibTeX references. • xtable for automated R-to-LaTeX data exporting. • #Debian Linux as a main engine. 💡 Takeaway: Zero proprietary software licenses needed. Complete reproducibility from raw analytical data to a print-ready PDF. 🔗 The published version of monoghraph is here: https://zenodo.org/records/20709306 #Hydrogeology #Geochemistry #LaTeX #GIS #OpenScience #DataScience #SvystunovaGully
zenodo.org
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Embraline @emxn@mstdn.isometry.group
· 2mo ago
#rstats might be the wrong place for this but I'll ask anyways. Would creating an R package (with an acompanying publication) for the analysis and research of an underdeveloped medical technology be a good masters thesis project? I've worked on a few research projects related to a specific lung measurement technology which has little to no R support so a lot of analysis I've had to program on my own. There's also very few resources on what statistics are well suited to the tech. Boosts welcome
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Eugene @datastory@mstdn.ca
· 2mo ago
📉 Comparing the Solid-to-Tree Ratio with the Land Surface Temperature (LST) data obtained in the previous phase of the study allows for a visual assessment of the relationship between surface sealing and summer surface heating across Calgary’s residential communities. 🔥 The plot reveals a strong pattern for the vast majority of communities: a sharp increase in temperature occurs within the ratio range of 0 to 5. The Downtown Commercial Core stands out as a distinct outlier, where low LST values are driven by deep geometric shading from high-rise buildings. Additionally, neighborhoods such as Manchester, Seton, Redstone, Beltline, and Rangeview, among a few others, slightly diverge from the main trend. 📊 Full methodology and additional charts via the link:👇 https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/ #Calgary #OpenData #UrbanHeat #DataScience #ClimateResilience #YYC #Geoscience #CityPlanning #RemoteSensing #RStats #MachineLearning #GreennessOfCalgary
Calgary’s Microclimatic Anatomy: What Lies Beneath the City’s Green Appearance?
DataStory

Calgary’s Microclimatic Anatomy: What Lies Beneath the City’s Green Appearance?

Half of Calgary’s area consists of artificial and impervious surfaces: asphalt, roofs, parking lots, and paved areas. If non-residential zones are excluded to focus solely on residential communitie…

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Eugene @datastory@mstdn.ca
· 2mo ago
Which Calgary neighborhoods are best built to withstand summer heatwaves? 🌳☀️ To measure structural climate resilience across the city, I conducted a spatial analysis of 193 established residential communities, calculating the Solid-to-Tree Ratio—comparing bare artificial surfaces (asphalt, concrete, rooftops) directly against total tree canopy area. Here are the Top 10 most shade-rich and climate-resilient communities in Calgary: 🟢 Queens Park Village — 0.3 (Just 0.3 ha of hard surface for every 1 ha of canopy!) 🟢 Discovery Ridge — 0.5 🟢 Roxboro — 0.5 🟢 Wildwood — 0.6 🟢 Rideau Park — 0.7 🟢 Medicine Hill — 0.8 🟢 Upper Mount Royal — 0.8 🟢 Crestmont — 0.9 🟢 Elbow Park — 0.9 🟢 Shaganappi — 0.9 👇 The full interactive dataset and study are here: https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/ #UrbanAnalytics #GeospatialData #RemoteSensing #GIS #UrbanForestry #CityPlanning #Calgary #DataScience #Microclimate #MachineLearning #GreennessOfCalgary #RStats #FOSSGIS
Calgary’s Microclimatic Anatomy: What Lies Beneath the City’s Green Appearance?
DataStory

Calgary’s Microclimatic Anatomy: What Lies Beneath the City’s Green Appearance?

Half of Calgary’s area consists of artificial and impervious surfaces: asphalt, roofs, parking lots, and paved areas. If non-residential zones are excluded to focus solely on residential communitie…

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Eugene @datastory@mstdn.ca
· 2mo ago
🔥 Top 10 Calgary Communities with the Highest "Shade Deficit" To measure structural heat risks, I calculated the Solid-to-Tree Ratio—the ratio of bare artificial surfaces (asphalt, concrete, roofs) to total tree canopy area. A higher ratio means more heat-retaining concrete and less natural cooling. Here are the 10 most shade-deficient residential communities in Calgary: 🔹 Downtown Commercial Core — 56.2 (56.2 ha of hard surfaces for every 1 ha of trees) 🔹 Beltline — 24.6 🔹 Redstone — 23.8 🔹 Seton — 20.8 🔹 Manchester — 17.7 🔹 Rangeview — 16.8 🔹 Symons Valley Ranch — 16.0 🔹 Lower Mount Royal — 13.9 🔹 Country Hills Village — 13.2 🔹 Martindale — 12.4 An interactive lookup table featuring area metrics and ratios for all 193 established Calgary residential communities is available via the link: https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/ #YYC #Calgary #CalgaryRealEstate #UrbanForestry #CityPlanning #RemoteSensing #YycLiving #GreennessOfCalgary #MachineLearning #RStats #Alberta #Canada
Calgary’s Microclimatic Anatomy: What Lies Beneath the City’s Green Appearance?
DataStory

Calgary’s Microclimatic Anatomy: What Lies Beneath the City’s Green Appearance?

Half of Calgary’s area consists of artificial and impervious surfaces: asphalt, roofs, parking lots, and paved areas. If non-residential zones are excluded to focus solely on residential communitie…

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Eugene @datastory@mstdn.ca
· 2mo ago
🌳 Is Calgary actually as green as it looks? While open lawns (28.6% citywide) give Calgary a visual "green appearance", dry summer conditions quickly strip unirrigated grass of its cooling capacity. Meanwhile, true cooling infrastructure — dense and sparse tree canopy — accounts for only ~17%. To quantify structural heat risks, I introduced the Solid-to-Tree Ratio index across 193 residential communities: 🔹 Critical Deficit: Downtown Core (56.2) and Beltline (24.6), where hard surfaces outnumber tree canopy by tens of times. 🔹 Suburban Pressure: New communities like Redstone (23.8) and Seton (20.8) feature high-density lots with minimal mature shade. 🔹 Ecological Buffers: River valley communities like Discovery Ridge (0.5) and Wildwood (0.6), where canopy exceeds concrete. 👇 Link to the full study and interactive dataset: https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/ #Calgary #YYC #DataScience #GIS #RStats #RemoteSensing #UrbanHeat #DataViz #SpatialAnalysis #MachineLearning #GreennessOfCalgary #FOSSGIS #Alberta #Canada
Calgary’s Microclimatic Anatomy: What Lies Beneath the City’s Green Appearance?
DataStory

Calgary’s Microclimatic Anatomy: What Lies Beneath the City’s Green Appearance?

Half of Calgary’s area consists of artificial and impervious surfaces: asphalt, roofs, parking lots, and paved areas. If non-residential zones are excluded to focus solely on residential communitie…

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