Stata, SPSS, and SAS to Python and R | Boyce Data Science

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Stata, SPSS, and SAS to Python and R

Describe a data management or statistics task in plain language, or type a command you already know from Stata, SPSS, or SAS. This reference returns the equivalent approach in Python and R, with a short explanation and a link to the official documentation for each one.

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Browse every operation by task

The full reference is grouped into stages that run from reading a data file through modeling and survival analysis. Use the jump bar to move between stages, and select any operation to open the code for all five languages.

A note on reading the results

This reference is a starting point for moving between languages, not a promise that every command produces identical numbers. Defaults differ across packages. Two examples: a t-test in R uses the Welch approximation unless you set var.equal = TRUE, while Stata assumes equal variances unless you add the unequal option, and categorical predictors in a regression depend on which reference category and coding scheme you choose. Read the linked documentation and confirm that the options match your intent before you report anything.

The source language commands include the built-in help command for each one, so you can open the manual entry inside Stata, SPSS, or SAS while you work. Syntax reflects current stable releases as of August 2026. If a command behaves differently in your installation, check the version-specific documentation linked above.

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