Data Scientist (with R): 12th August 2025

A Personal Message from an Open Source Contributor (pacha​.dev). Mauricio 'Pachá' Vargas S. asks for community support while detailing R packages cpp11armadillo, capybara, gravity, tabulapdf, pointblank, his PhD, guitar pedals, and a YouTube channel

Shiny in Production 2025: Sponsors (jumpingrivers​.com). Shiny in Production 2025 features sponsors like Posit, ThinkR, Datacove, Newcastle University Solve, CRC Press, and R Consortium, highlighting R package validation and analytics

Weekly tabs (causalinf​.substack​.com). Weekly tabs curates Brant Callaway ptetools, synthetic DiD, Callaway–Sant’Anna, panel data notes, MGK–Dylan link, OpenAI hiring senior labor economist, Cubs game menu and life musings

useR! 2025 - Durham, North Carolina (ropensci​.org). useR! 2025 in Durham showcases keynotes by Bellini Saibene, Landau, Ross, Siregar, Vargas, Verde Arregoita; targets, rPlaywright, hex stickers, community-driven packaging from rOpenSci for attendees

R Weekly 2025-W33 Wrote this talk with an LLM, What’s R vector, quarto R package v1.5.0 (rweekly​.org). Wickham's LLM-assisted talk on What’s R vector; quarto R package v1.5.0 streamlines R workflows, covering ML, EDA in Positron, igraph C core, libcurl in WebAssembly

Weeknote for 2025-W32 (eamoncaddigan​.net). Explores transitioning from notebooks to a hybrid workflow using targets, R packages, and R Markdown/Quarto, critiquing Jupyter; cites Joel Grus, DataBS, JupyterCon, and Will Landau

Release Notes - Tools Updated (infoepi​.org). Release notes reorganize privacy tiers and add Briar, Session, Tox; clarify Telegram; cover WhatsApp and MeWe; expand Books/Reading analytics (Metabase, Redash, Looker Studio, Plotly Dash)

How to build a Streamlit app in Positron (posit​.co). Explore building Streamlit apps in Positron, integrating Python and R tools, management with RStudio, Jupyter, and VS Code, publishing dashboards using CRAN, PyPI, and Bioconductor

{shinytesters}: Updating Inputs in testServer (ashbaldry​.github​.io). Shinytesters enables updating inputs in testServer by mocking shiny update functions, leveraging local_mocked_bindings, testing updateDateInput and updateSelectInput, and preserving observer order in modules for reliability

Adding Shiny app’s parameters to the URL (pacha​.dev). Demonstrates adding Shiny app parameters to the URL with golem, bookmarking, and updateQueryString, filtering penguins data and plotting body mass via reactive inputs in R

Good vibes only (livefreeordichotomize​.com). Severance ding dataset with episode numbers, timestamps, pitch, and actions; plus a Shiny app prototype Q&A at useR2025, using Claude, Positron, RStudio, Google Sheets, GitHub

Immaculate vibes, questionable code (lucymcgowan​.com). Lucy D'Agostino McGowan and Davis Vaughan describe building a Slido-like replacement in pure vibe coding—no specs, no tests—exploring chaotic joy, accidental brilliance, and questionable code

Reducing Optimization Risk through Portfolio Methods (win-vector​.com). Explores fragility of optimization, Dantzig and Stigler diet problems, uncertainty modeling, and portfolio theory to build robust solutions with risk-adjusted objectives and diverse plans therein

Modeling Uncertainty For Better Outcomes (win-vector​.com). Utilizing Stan MCMC sampler enhances business decisions by modeling uncertainty, leading to anti-fragile solutions rather than relying solely on surface KPIs

Let's get accuracy vs precision straight (riinu​.me). Clarifies accuracy and precision with practical examples and R visuals, using tidyverse and ggforce, illustrating four scenarios: accurate-precise, accurate-not-precise, not-accurate-precise, not-accurate-not-precise for readers seeking intuition

To understand mathematical concepts, look to history (kucharski​.substack​.com). History explains confidence intervals, sampling, and survey research via Neyman's 1934 theory, Fisher's criticisms, Bowley's doubts, and Lazarsfeld, Gallup, Marienthal studies shaping modern social statistics

Two-sample comparison through additive tree models for density ratios (arxiv:stat). Additive tree models for density ratios using a balancing loss; applications in high-dimensional distributions, uncertainty quantification, and microbiome data assessment

SkipTrack: A Bayesian Hierarchical Model for Self-tracked Menstrual Cycle Length and Regularity in Large Mobile Health Cohorts (arxiv:stat). Bayesian hierarchical SkipTrack models baseline and time-varying menstrual cycle length and regularity in mobile-health cohorts, accounting for tracking skips and comparing to priori skip methods

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