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  "Title": "A plugin package to analyze complex survey designs with custom\nplugins and the 'ggsurvey' package.",
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  "Date": "2026-05-29",
  "Author": "Alfonso Cano",
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    "author": "AlfCano <alfonsociologo@gmail.com>",
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    "message": "Fixed boxplot bug\n\n### 🐛 Bug Fixes\n* **Corrected Box Plot Function Call:** Addressed an issue where the\nSurvey Box Plot component was incorrectly sending two variables (X and\nY) to the 1-dimensional function `ggboxweight_svy()`, causing an\n`\"argument unused\"` error.\n* **Bivariate Integration:** The JavaScript code generation for the Box\nPlot has been successfully patched to invoke the specialized\n2-dimensional function **`ggboxweight2d_svy(design, x, y)`**. Users can\nnow properly cross categorical grouping variables (X) against continuous\nvariables (Y) without execution failures.\n\n### 💡 User Notes\n* *Reminder:* When plotting bivariate boxplots, ensure that your X\nvariable is explicitly cast as a factor (categorical) and your Y\nvariable is numeric. Heavily skewed data with zero-variance quantiles\n(e.g., massive amounts of $0 income) may still cause native `quantreg`\n\"Singular design matrix\" errors, which should be handled via standard\ndata cleaning (e.g., `subset(design, Y > 0)`) prior to plotting.\n",
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