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## Overview

Easily transform your R data into beautifully-formatted tables with the aid of **Stargazer**, an easy-to-use R package. Regardless of whether you’re working with ASCII,
\(\LaTeX\)
, or HTML code, Stargazer seamlessly adapts to your preferences.

This package automatically recognizes the type of data you provide. For example, if you supply a set of regression model objects, it will generate a regression table. Similarly, if you feed it a data frame, it will create a summary statistics table.

## An Example

Let’s delve into an example that showcases the power of Stargazer.

Assume you have regression coefficients from models `mdl_1`

and `mdl_2`

, and you want to showcase them in a HTML-formatted table, ready to be included in your research paper.

```
# Load required packages
library(stargazer)
library(dplyr)
# Sample data
data <- data.frame(
y = c(10, 20, 30, 40, 50),
x1 = c(2, 3, 4, 5, 6),
x2 = c(0, 1, 0, 1, 0)
)
# Fit regression models
mdl_1 <- lm(y ~ x1, data = data)
mdl_2 <- lm(y ~ x1 + x2, data = data)
# Create HTML-formatted regression table
stargazer(mdl_1, mdl_2,
title = "Figure 1",
column.labels = c("Model 1", "Model 2"),
type="html",
out="output.html"
)
```

The code above creates an HTML-formatted regression table and the output will be saved as an HTML file.

To present the results in LaTeX or plain text format instead of HTML, simply change the “type=” function and set it to “latex” or “text”.