End-to-end R data analysis workflow from exploration through regression to publication-ready tables and figures.
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 Create script with proper header (title, author, purpose, inputs, outputs) Load packages with (never ) Set 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…
Full body not shown for this license – view the source on GitHub →Copy a source-pinned command for your client. You run it yourself.
Destination: .claude/skills/data-analysis · pinned to the source commit
# Run from your project root
git clone https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git .skillboard-tmp
git -C .skillboard-tmp checkout 692e9fa3fea40bbdf614584d461851f8fb968ac2
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/skills/14-luischanci-claude-code-research-starter/dot-claude/skills/data-analysis" ".claude/skills/"
rm -rf .skillboard-tmpReview the source before running. This copies files into your project; it is not a one-click install and does not verify runtime safety.
sudo apt update && sudo apt install -y gitnpm install -g @anthropic-ai/claude-code# Run from your project root
git clone https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git .skillboard-tmp
git -C .skillboard-tmp checkout 692e9fa3fea40bbdf614584d461851f8fb968ac2
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/skills/14-luischanci-claude-code-research-starter/dot-claude/skills/data-analysis" ".claude/skills/"
rm -rf .skillboard-tmpDestination: .claude/skills/data-analysis
Scanner static-checks@0.1.0 · commit 692e9fa3fea4. Static checks cannot prove runtime safety – review the source and the exact diff before installing. How checks work.
Declares shell/exec-level tools that grant wide host access.
Evidence: Bash· fingerprint d1e9567da9a8a4b0