- Tour
-
Tutorials
Reproducible Research and Automation Practicing Pipeline Automation using Make Principles of Project Setup and Workflow Management Starting Up a New Empirical Research Project Document and Share your Data using GitHub Data Preparation and Workflow Management
-
Building Blocks
Statistics and ComputationSet up TeXmacs Set up Visual Studio Code Set up Sublime Text Install Python Packages Install Stata Packages Set up Git and GitHub Set up LaTeX Set up MATLAB Set up Pandoc Set up Perl Set up Python Set up R and RStudio Set up StataAutomation and WorkflowsMaking Path Settings Permanent Set up Command Line Tools Set up Docker Set up Make Set up Snakemake Set up TeamViewer Set up the AWS ClientResearch InfrastructureLearn About the Various Ways to Setup a Research Infrastructure Cloud Computing with SURFsara's Cartesius Cluster Cloud Computing with SURFsara's LISA Cluster Getting Started with Research Cloud HPC TiU for Cloud Computing Set up SURF Research Drive and Rclone to Store Data Setting Up a New Workspace and Configuring Git Use Google Colab to Run Python in the CloudTask-specific ConfigurationsConfigure Python virtual environments Configuring Python for Web ScrapingRegressionsRun a Regression Analysis Easy Standard Error Adjustment with `estimatr` Evaluate Model Assumptions Fixed-Effects Estimation in R with the fixest Package Compute Marginal Effects Impact evaluation with Difference-in-Differences and Regression Discontinuity Synthetic control for impact evaluation Doing Calculations with Regression Coefficients Using deltaMethod Generate regression tables in R with the `modelsummary` package Intro to IV Estimation Create a publication-ready LaTeX regression table with `kableExtra` in R Generate a coefficient plot in R with the `modelplot` functionMachine LearningIn-depth Introduction to Machine Learning and RAutomate your WorkflowUse Makefiles to Manage, Automate, and Reproduce Projects Enhance Reproducibility and Automation with GitHub Actions Debugging Makefiles With Remake How to Automatically Install R Packages Used in a Project Schedule Recurring Tasks (e.g., by day, hour) Error Handling in Stata Workflows Using R tableFill for Reproducible Tables Make Tables and Figures Reproducible with Autofilling Values Share Large Temporary Files Use this Checklist to Improve Your Project's Structure and EfficiencyMake your Work ReproducibleUse Software Environments to Ensure Replicability Configure a VM with GPUs in Google Cloud Package Management for R: renv Import and run a Python environment on Google cloud with Docker Export a Python environment with Docker and share it through Docker Hub Docker for Reproducible Research Manage your R Packages with Packrat Run RStudio on AWS using DockerVersion and Share Code with GithubGet Started With Using Git and GitHub The Most Important Git Commands You Should Know Restoring Timestamps in Git Repositories The GitHub Workflow Contribute to Open Source Projects Exclude Files from Versioning Git Branching Strategies Best Practices for Naming Git Branches Best Practices for Git Commits Make Your GitHub Repository Citable using DOIs Remove Sensitive or Large Files From Your Repository Working with Large Files on GitHub Archiving Repositories When They Are Done Export Repositories With GitHub ReleasesWrite your PaperUse Overleaf to Collaborate on Research Papers LyX for Professional Research Papers and Presentations Get Started With Our Bookdown Thesis Template Get Started With Our LaTeX Thesis Template Stata Graphs Made Easy Stargazer: Exporting Publication-Ready Tables in R Cheatsheet for LaTeX Math Commands
-
Examples
- About
