r-quarto

What problem does it solve?

Many replication and analysis workflows require reproducible R code embedded in Quarto chapters or standalone R scripts but lack consistent templates, chunk options, and project paths, which makes sharing, rendering, and exporting tables to Overleaf error-prone and time-consuming.

Core Features & Use Cases

• Provides templates and conventions for standalone R analysis scripts that load data, run regressions, and save results using tidyverse, fixest, modelsummary, and haven.
• Supplies Quarto chapter templates with labeled executable chunks, recommended chunk options (echo, eval, message), and guidance for producing publication-ready tables and figures for a replication book.
• Use cases include creating new replication_book chapters, converting Stata-based analyses into Quarto, and exporting modelsummary tables to Overleaf table pipelines.

Quick Start

Create a new Quarto chapter that sets root paths, reads the target Stata dataset with haven, runs the specified feols regression with fixest, and writes a modelsummary table to the Overleaf files directory.