What is the R Statistical Analyst skill?

It is a specialized capability for Claude Code designed to guide researchers through rigorous, phased quantitative analysis in R, specifically tailored for academic social science standards.

Can it help with causal identification?

Yes, Phase 0 of the workflow is dedicated entirely to research design, helping you define identification strategies and address potential threats before data analysis begins.

Which R techniques does it support?

It supports a wide range of methods including Difference-in-Differences (DiD), Instrumental Variables (IV), Propensity Score Matching, Panel Fixed Effects, Bayesian sensitivity analysis, and text analysis.

Is it suitable for top-tier journal submissions?

Yes, it is specifically designed to produce the high-quality tables (via modelsummary/etable) and diagnostic figures required for publication in major social science journals.

Does it produce reproducible code?

Absolutely. The skill enforces a standardized folder structure and documentation practices to ensure all analyses are fully reproducible and ready for replication packages.

R Statistical Research Analyst

Name: R Statistical Research Analyst
Author: nealcaren

bynealcaren

•

数据科学与机器学习

Conducts rigorous, publication-ready R statistical analysis for social science research using a systematic, phased workflow.

This skill transforms Claude into an expert quantitative research assistant specialized in sociology and social science. It guides users through a structured five-phase process—from research design and identification strategy to data familiarization, model specification, and final publication-quality output. It prioritizes reproducibility, causal identification, and robustness testing, ensuring that results meet the standards of top-tier academic journals while maintaining a collaborative workflow between the researcher and the AI. By following built-in technique guides for econometrics, survey resampling, and sensitivity analysis, it ensures high-quality code and methodologically sound results.

主要功能

01Standardized project structure for reproducible social science research

02Systematic phased analysis workflow from design to publication

03Comprehensive robustness, sensitivity, and placebo testing

04Automated creation of publication-quality tables and visualization figures

059 GitHub stars

06Advanced econometric techniques including DiD, IV, Event Studies, and RD

使用场景

01Conducting complex causal inference analysis using panel data or quasi-experimental designs.

02Preparing quantitative results for submission to top-tier sociology and social science journals.

03Automating data cleaning, descriptive reporting, and visualization for large-scale social datasets.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nealcaren/social-data-analysis r-analyst

For use in Claude.ai and ChatGPT

Download Skill