Potpourri: Statistics #97

1862. Data Vis Dispatch: June 6, June 13, June 20, June 271863. Learning Julia with #TidyTuesday and Tidier.jl1864. Introduction to Data Visualization for the Web1865. How to make fancy road trip maps with R and OpenStreetMap1866. Simulating confounders, colliders and mediators1867. Static and Dynamic Web Scraping with R1868. Using R + VSCode1869. Teaching Confidence Intervals and Hypothesis Testing with gganimate1870. Building a Dataviz Design System for a Medical Research Project1871. rang: Reconstructing reproducible R computational environments1872. Quarto at Work: Streamline Reports and Share Insights1873. Deploy your models on Amazon SageMaker with vetiver1874. Why did Marketing Science at Meta develop marsci, an internal R library?1875. Spatial Statistics for Data Science: Theory and Practice with R1876. Bayesian structural equation model tutorial1877. Mastering the Power of R’s diff() Function: A Programmer’s Guide1878. Easy database access with a custom R6 package1879. morestopwords: All Stop Words in One Place1880. Power: Power Is for You, Not for Reviewer Two, What Do Confidence Intervals from Well-Powered Studies Look Like?, The Rule of 3.64 for Statistical Power1881. Pulling a formula from a recipe object1882. Row relational operations with slice()1883. Large Language Models: A Complete Guide1884. What are Large Language Models? What are they not?1885. GPT-2 from scratch with torch1886. Setting up Github Copilot and VSCode1887. The React Graph Gallery1888. Student’s t-test explained with R and Pokemon1889. Order Constraints in Bayes Models (with brms)1890. How Can Someone Else Use My Model?1891. Mastering Data Aggregation with xtabs() in R1892. What Makes Raincloud Plots Tick?1893. Artifact corrections for effect sizes: equations, code, and interactive app1894. Understanding missing data mechanisms using causal DAGs

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