R Econometrics MCP Server

Quick Start Guide ================= This guide will get you up and running with RMCP in minutes. Starting the Server ------------------- 1. **Install RMCP**: .. code-block:: bash pip install rmcp 2. **Check R packages**: .. code-block:: bash rmcp check-r-packages 3. **Start the MCP server**: .. code-block:: bash rmcp start Basic Usage Examples -------------------- Linear Regression ~~~~~~~~~~~~~~~~~ .. code-block:: json { "tool": "linear_model", "data": { "x": [1, 2, 3, 4, 5], "y": [2, 4, 6, 8, 10] }, "formula": "y ~ x" } Correlation Analysis ~~~~~~~~~~~~~~~~~~~ .. code-block:: json { "tool": "correlation_analysis", "data": { "var1": [1, 2, 3, 4, 5], "var2": [2, 4, 6, 8, 10], "var3": [1, 3, 5, 7, 9] } } Visualization with Inline Display ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. code-block:: json { "tool": "scatter_plot", "data": { "x": [1, 2, 3, 4, 5], "y": [2, 4, 6, 8, 10] }, "x_var": "x", "y_var": "y", "return_image": true } Working with Real Data ---------------------- Load Example Datasets ~~~~~~~~~~~~~~~~~~~~~ .. code-block:: json { "tool": "load_example", "dataset_name": "sales", "size": "small" } Import Your Data ~~~~~~~~~~~~~~~ .. code-block:: json { "tool": "read_csv", "file_path": "/path/to/your/data.csv" } Natural Language Formula Building ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. code-block:: json { "tool": "build_formula", "description": "predict sales from marketing spend" } Error Recovery ~~~~~~~~~~~~~~ .. code-block:: json { "tool": "suggest_fix", "error_message": "object 'sales' not found", "tool_name": "linear_model" } Next Steps ---------- * :doc:`../troubleshooting` - Troubleshooting common issues * :doc:`../api/modules` - Complete API reference