r2stata

About r2stata package

Author: Umar Hussain

This package provides interactive Stata-style statistical functions for R data frames. Includes descriptive statistics, t-tests, ANOVA, chi-square and Fisher exact tests, Mann-Whitney U tests, linear regression, and logistic regression. Designed to mimic Stata console and commands for ease of use and reproducibility.

How r2stata Works (Important Instructions)

The r2stata package works differently from conventional R packages and is designed to closely replicate the Stata workflow within the R environment. Understanding this workflow is essential for proper use of the package.

1. Data Must Be Supplied Inside an r2stata Function

Unlike standard R functions where commands are written directly in the console, r2stata requires that your dataset be passed first into a specific r2stata function.

Examples include:

• stata_summarize(data)

• stata_tabulate(data)

• stata_regress(data)

• stata_anova(data)

Each function acts as an entry point to a Stata-style analysis environment.
Without supplying the dataset to the function, the interactive console will not start.

2. Launch of the Stata-Like Interactive Console

Once an r2stata function is executed, an interactive console opens inside R, displaying the prompt:

StataR> 

This prompt behaves similarly to the Stata command window. From this point onward, user interaction shifts from R syntax to Stata-style syntax.

3. Use Stata-Style Commands (Not R Commands)

At the StataR> prompt, users must type Stata-like commands, such as:

• summarize age

• summarize age, detail

• tabulate gender

• regress outcome predictor1 predictor2

Standard R commands (e.g., summary(), table(), lm()) should not be used inside the interactive console.
All analysis commands are interpreted and executed using Stata-like syntax.

4. Stata-Style Output

The results are printed in a format that closely resembles Stata’s output, including:

• Structured tables

• Familiar headings and labels

• Stata-like statistics layout

This makes interpretation intuitive for users who already work with Stata and allows for easy comparison between R and Stata outputs.

5. Purpose and Design Philosophy

The core purpose of r2stata is to:

• Bridge the gap between R and Stata

• Allow Stata users to analyze R data without learning new command syntax

• Maintain reproducibility, transparency, and script-based analysis within R

By embedding a Stata-like console inside R, r2stata enables users to benefit from R’s data handling and ecosystem while preserving the familiar Stata command structure.

6. Exiting the Interactive Console

If you encounter an error or wish to stop the interactive session:

• Press the Escape (Esc) key
  OR

• Type:

exit 

This will safely terminate the Stata-like console and return control to the R environment.

Installation

Install devtools if not already installed

install.packages(“devtools”)

Install r2stata from GitHub

devtools::install_github(“umarhussain-git/r2stata-R-package”) # or using remotes remotes::install_github(“umarhussain-git/r2stata-R-package”)

Functions of r2stata

stata_anova	Stata-style One-Way ANOVA and Kruskal–Wallis function
stata_chi2	Stata-Style Tabulate with Chi-Square Test
stata_fisher	Stata-Style Tabulate with Fisher Exact Test
stata_logit	Stata-style Logistic Regression Console
stata_posthoc	StataR-like One-Way ANOVA with Tukey Post Hoc Test
stata_regress	Stata-style Linear Regression Console
stata_summarize	Stata-style Summarize function
stata_tabulate	Stata-Style Tabulate function
stata_ttest_indep	Stata-style Independent Two-Sample Tests
stata_ttest_onesample	Stata-style One-Sample t Test function
stata_ttest_paired	Stata-Style Paired t-Test

Summarize function

Description

Provides an interactive console in R that mimics Stata’s summarize command. Users can type commands at the ⁠StataR>⁠ prompt to summarize variables in a data frame, optionally using detail for extended statistics or by(group) to summarize within levels of a categorical variable.

Tabulate function

Description

Provides an interactive console in R that mimics Stata’s tabulate command. Users can type commands at the ⁠StataR>⁠ prompt to create frequency tables for categorical variables, optionally summarizing by a grouping variable. The output includes frequencies, percentages, cumulative percentages, and totals.

Tabulate with Chi-Square Test

Description

Provides an interactive console in R that mimics Stata’s tabulate command with options for chi-square tests, Fisher exact tests, cell percentages, and column percentages. Users can type commands at the ⁠StataR>⁠ prompt to create frequency tables for two categorical variables, optionally displaying test statistics and percentages.

Linear Regression Console

Description

Provides an interactive Stata-like console for performing linear regression using lm(), mimicking the output format of Stata’s regress command. The function displays ANOVA decomposition (Model, Residual, Total), F-statistic, R-squared values, Root MSE, and a coefficient table with confidence intervals.

library(r2stata)

One-Way ANOVA and Kruskal–Wallis function

Description

Provides an interactive Stata-like console in R for performing one-way analysis of variance (ANOVA) and Kruskal–Wallis equality-of-populations rank tests using Stata syntax. Results are printed in tables closely resembling Stata output, including group summaries and test statistics.

For more functions:

write after installation from github

help(package=“r2stata’)

Remember when you are getting errors

press escape button

or write ‘exit’