ImpactMojo Code Converter Pro+

Convert statistical code seamlessly between R, Python, Stata, SPSS, Julia, SAS, MATLAB, and LaTeX. Built specifically for economists and development researchers.

How to Use This Tool

1

Code Converter

Convert code between 8 statistical languages instantly.

  1. Select your source language (what you have)
  2. Select your target language (what you want)
  3. Choose the analysis type for better conversion
  4. Paste your code or click "Load Example"
  5. Click "Convert" to get the translated code

Tip: Use Ctrl+Enter to convert quickly, or Ctrl+L to load examples

2

Code Templates

Ready-to-use templates for econometric analysis.

Impact Evaluation
Difference-in-differences
Causal Inference
RD, IV methods
Panel Data
Fixed/Random effects
Time Series
ARIMA, VAR, VECM
Machine Learning
LASSO, Random Forest
Visualization
Economic plots

How to use: Browse by category, click any template, and it loads into the converter

3

Function Library

Compare equivalent functions across all languages.

Example: Linear Regression
R: lm(y ~ x1 + x2, data = df)
Python: sm.OLS(y, sm.add_constant(X)).fit()
Stata: regress y x1 x2

Search tip: Use the search box to find specific functions or filter by category

4

LaTeX Equations

Build mathematical equations for your papers.

Type LaTeX like: Y_i = \beta_0 + \beta_1 X_i + \epsilon_i
Quick buttons available for: β, α, ε, σ, ∑, ∫

Templates included: Linear regression, panel models, DiD equations

Supported Languages

R Python Stata SPSS Julia SAS MATLAB LaTeX

💡 Pro Tips for Best Results

  • Start with the Templates tab for common econometric analyses
  • Use the Function Library to find equivalent commands
  • Select the correct Analysis Type for better conversion accuracy
  • Copy converted code and test it in your target environment
  • Use the History tab to revisit previous conversions