Potpourri: Statistics #93

1710. Data Vis Dispatch: February 7, February 14, February 21, February 281711. To nye danske bøger om R1712. The oldest R version one can still run today1713. Attributes in R Functions: An Overview1714. Diverging Lollipop Chart: A Visual Tool for Comparing Data with {healthyR}1715. Tidier.jl: 100% Julia implementation of the R tidyverse mini-language1716. From Zero to Research Scientist full resources guide1717. Flexible Imputation of Missing Data1718. GPT in 60 Lines of NumPy1719. Estimating Treatment Effects After Weighting with Multiply Imputed Data1720. Google Python Style Guide1721. Let's roll dice!1722. Prediction Intervals for Linear Mixed Effects Models1723. Should I learn Stan?1724. List of tools and techniques for working with relational databases1725. Building reproducible analytical pipelines with R1726. Sensitivity Analyses for Unmeasured Confounders1727. A Critical Field Guide for Working with Machine Learning Datasets1728. Awesome-LLM: everything you need to know about Large Language Model1729. How to do a Kruskal-Wallis Test in R1730. Introduction to ICA: Independent Component Analysis1731. An index of algorithms for learning causality with data1732. 1 dataset 100 visualizations1733. Introduction to Data-Centric AI1734. The Unreasonable Effectiveness of Conditional Probabilities1735. Tomorrow's weather1736. How to create a simple heatmap in R ggplot21737. Statistical Rethinking 20231738. Practical Guide to Honest Causal Forests for Identifying Heterogeneous Treatment Effects1739. Creating interactive visualizations with {ggiraph} (with or without Shiny)1740. forester: what makes the package special?1741. Why should I use R: The Excel R Data Wrangling comparison: Part 11742. Save space in faceted plots1743. P-value bowling1744. Decision Tree Modelling for Cost Effectiveness Analysis in R1745. Poisson Regressions: A Little Fishy1746. Visualizing Climate Change: A Step-by-Step Guide to Reproduce Climate Stripes with Python1747. Meaningless Means #3: The Truth About Lies

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