https://github.com/bodysbobb/gtapviz
GTAPViz: Automating GTAP Data Processing and Visualization with HARplus
https://github.com/bodysbobb/gtapviz
cge-model gempack ggplot2 gtap har-file r-package sl4-file
Last synced: 3 months ago
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GTAPViz: Automating GTAP Data Processing and Visualization with HARplus
- Host: GitHub
- URL: https://github.com/bodysbobb/gtapviz
- Owner: Bodysbobb
- License: mit
- Created: 2025-02-13T09:40:16.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-03-13T05:26:58.000Z (3 months ago)
- Last Synced: 2025-03-13T06:26:57.346Z (3 months ago)
- Topics: cge-model, gempack, ggplot2, gtap, har-file, r-package, sl4-file
- Language: HTML
- Homepage: https://bodysbobb.github.io/GTAPViz/
- Size: 36.8 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# GTAPViz: R Package for Automating GTAP Data Processing and Visualization
## **Overview**
**GTAPViz** is an R package designed to streamline the processing and visualization of GTAP model results. While primarily built for **GTAP simulations, it also supports other `.HAR` and `.SL4` datasets**.
As an extension of HARplus GTAPViz simplifies **GTAP data extraction and visualization**, reducing manual effort and enhancing efficiency.
With intuitive commands and automated adjustments, users can create, customize, and export high-quality visualizations for journal publications, economic analysis, and research reports—all with minimal coding.
## **Key Features**
- **Automated Plot Adjustments** – Optimizes plot dimensions, facet settings, and layout dynamically with minimal user input.
- **Academic-Style Pivot Table** – Automatically generates tables alongside figures, making it easy to include both in academic papers.
- **Intuitive Customization** – Modify colors, fonts, legend positions, and other styling elements using simple, adaptable commands.
- **Full Customization Without Complexity** – Built on `ggplot2`, this package simplifies adjustments into intuitive commands like `TRUE/FALSE`, eliminating the need for deep coding.
- **Multiple Export Formats** – Save high-resolution figures in **PNG and PDF** formats simultaneously for presentations, publications, and LaTeX reports.
- **Comprehensive Documentation** – Includes a vignette and built-in help functions covering all customization options—no need to search online.
## **Installation**
GTAPViz can be installed from GitHub using the following command in R:
```r
devtools::install_github("Bodysbobb/GTAPViz")
```
Then, you can access the package manual using:
```r
help(package = "GTAPViz")
```
## **Comprehensive Documentation**
For full details on how to use this package and explore practical examples, see the [GTAPViz Vignette](https://rpubs.com/Bodysbob/1282495) or [GitHub GTAPViz](https://bodysbobb.github.io/GTAPViz/).
For the R reference manual, see the [GTAPViz Reference Manual](https://bodysbobb.github.io/GTAPViz/GTAPViz_1.0.0.pdf).
## **License & Author**
GTAPViz is released under the **MIT License**. See the full **[license](LICENSE)**.
**Author:**
**Pattawee Puangchit**
Ph.D. Candidate, Agricultural Economics
Purdue University
Research Assistant at GTAP