A technical tutorial on using R and inverse probability weighting to handle time-series panel data for causal inference with marginal structural models.
A tutorial on using R to calculate inverse probability weights for causal inference with both binary and continuous treatment variables.
A technical guide on creating and customizing bullet chart variants using R and ggplot2, including code examples and comparisons of different approaches.
A data visualization project analyzing IMDb's top 250 TV shows using R, focusing on rating trends and episode details.
A guide on embedding custom HTML and CSS within gt tables in R for enhanced table styling and formatting in R Markdown and Shiny.
A programmer writes an interpreter for a subset of BASIC to run the original 1978 Oregon Trail game within R, discussing code translation challenges.
A technical tutorial on using ggplot2 in R to create visualizations with embedded images, specifically NFL player headshots in QBR charts.
Introducing svyVGAM, a new R package for fitting complex survey regression models using the VGAM framework with design-based inference.
Creating a cross-platform calendar function in R, inspired by the Unix 'cal' command, using lubridate and crayon packages.
Overview of new features in version 4.0 of the R survey package, focusing on improved contrast estimation and replicate handling.
A technical tutorial on mapping COVID-19 cases in New Zealand by District Health Board using R and the DHBins package.
A technical tutorial on implementing quadratic trend tests using the R survey package, including code examples and statistical analysis.
Highlights key themes from rstudio::conf 2020, including putting R in production, R Markdown advancements, parallel processing, and tidyverse programming.
Announces version 3.37 of the R 'survey' package, detailing new features for statistical analysis with complex survey data.
Announcing heatmaply 1.0.0, an R package for creating interactive, cluster-based heatmaps for online sharing and visualization.
A tutorial on building an interactive data dashboard using R, flexdashboard, and Shiny with data from Google Sheets.
A review of the best #TidyTuesday data visualization submissions from 2019, highlighting creative and insightful uses of R and ggplot2.
A professor details the curriculum and practical challenges of teaching an undergraduate 'Data Science Practice' course, covering data prep, predictive models, and tools like R and keras.
A developer's experience and technical learnings from participating in the 30DayMapChallenge, creating maps using R and geospatial tools.
A guide with practical heuristics for converting ggplot2 (R) visualization code to plotnine (Python) code, including syntax and style differences.
