Stargazer
Stargazer is an open-source statistical software tool for creating publication-ready tables and graphs in R. It simplifies the process of summarizing models, performing cross-model comparisons, and generating LaTeX code for tables and graphs.
Stargazer: Open-Source Statistical Software Tool
Stargazer is an open-source statistical software tool for creating publication-ready tables and graphs in R. It simplifies the process of summarizing models, performing cross-model comparisons, and generating LaTeX code for tables and graphs.
What is Stargazer ?
Stargazer is an R package that allows users to easily create publication-ready tables and graphs summarizing statistical models. It works with many common R model objects like lm, glm, lme, lmer, multinom, coxph, ergm, gam, gee, etc. Some key features of Stargazer include:
- Automatic generation of LaTeX code for tables summarizing model results
- Options for controlling table content and format (number formatting, which statistics to display, landscape orientation, etc.)
- Side-by-side comparisons of multiple models
- Graphing model results using common plot types like histograms, scatterplots, quantile-comparison plots
- Support for summary statistics like p-values, t-statistics, confidence intervals, and more
- Formatting options for publication-quality tables (bolding, row separation lines, captions, labels, etc.)
- Open-source package available on CRAN, actively maintained
Overall, Stargazer makes it much easier for R users, particularly academics and scientists, to summarize their statistical models and generate results tables and graphs when writing papers or other publications. With just one command, it can produce a formatted table or graph ready for dropping directly into a LaTeX, Word, or other document.
Stargazer Features
Features
- Creates publication-ready tables for summary statistics
- Produces graphs and charts like histograms, scatterplots, dot charts
- Supports multiple model objects for comparison
- Generates LaTeX code for tables and graphs
Pricing
- Open Source
Pros
Open source and free to use
Easy to use syntax
Highly customizable styling
Works seamlessly with R and RStudio
Saves time formatting results for papers
Cons
Less flexible than base R graphics
Limited to frequentist statistical models
Requires LaTeX for full functionality
Steeper learning curve than basic R plotting
Official Links
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