Data analysis

Skill brycewang-stanford/Auto-Empirical-Research-Skills/skills/14-luischanci-claude-code-research-starter/dot-claude/skills/data-analysis

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Install

npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-analysis

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End-to-end R data analysis workflow from exploration through regression to publication-ready tables and figures.

SKILL.md

2.4 KB, as published. Nobody here has run it

Data Analysis

Run an end-to-end data analysis in R through 5 phases.

Phase 1: Setup and Data Loading

Read R code conventions from .claude/rules/r-code-conventions.md
Create script with proper header (title, author, purpose, inputs, outputs)
Load packages with library() (never require())
Set set.seed() if stochastic elements are involved
Load data using relative paths

Phase 2: Exploratory Data Analysis

Summary statistics (mean, sd, min, max, N)
Missingness patterns
Distributions of key variables
Bivariate relationships
Time patterns (if panel data)
Group comparisons
Save diagnostics to output/diagnostics/

Phase 3: Main Analysis

Use fixest for panel data with fixed effects (see /econometrics-r for detailed patterns)
Use lm/glm for cross-section
Cluster standard errors appropriately
Run multiple specifications (simple to complex)
Report both statistical and economic significance
For causal inference (IV, DiD, RDD), see /causal-inference-r for diagnostics and modern estimators
For spatial econometrics, see /econometrics-r for spdep/spatialreg patterns

Phase 4: Publication-Ready Output

Tables: modelsummary (preferred) or stargazer, export as .tex and .html
Figures: ggplot2 with project theme, explicit dimensions, white background, 300 DPI
Export figures as .pdf and .png

Phase 5: Save and Review

saveRDS() for all computed objects
Run r-reviewer agent on generated script
Address Critical/High issues

Script Structure Template

# ==============================================================================
# Title: [Analysis Name]
# Author: [Name]
# Date: [YYYY-MM-DD]
# Purpose: [What this script does]
# Inputs: [Data files]
# Outputs: [Tables, figures, RDS files]
# ==============================================================================

# 0. Setup ----
library(tidyverse)
library(fixest)
library(modelsummary)

# 1. Data Loading ----

# 2. Exploratory Analysis ----

# 3. Main Analysis ----

# 4. Tables and Figures ----

# 5. Export ----

All scripts saved to scripts/R/, all outputs to output/.