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CSViewer requires Java 11 or higher to be installed on your system

How to Install and Run on Windows:

  1. Download the ZIP file by clicking the 'Download Win' button above.

  2. Right-click the downloaded file and select 'Extract All...'

  3. Open the extracted folder and double-click ‘csviewer112.bat' to run.

  4. If prompted, allow the app permissions to run on your device.

Download for Windows

Download the latest CSViewer ZIP bundle for Windows. Follow the instructions to extract and run the application.

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User Manual

How to Use CSViewer for Analysts

  1. Installation: Ensure Java is installed on your computer. If not, download it from Java.com. Then, download and launch the CSViewer v1.1.0 bundle to start the application.

  2. Navigation: Upon starting, the application will display the main home page where you can access all features necessary for your research.

  3. Utilizing Features:

    • Family Tree: Investigate matrilineal and patrilineal heritage with options to view and edit genetic lineage.

    • Analytics and Measures: Perform detailed analyses and measure various parameters. Select animals, define the timeframe, and choose specific measures to generate tailored graphs and reports.

  4. Downloading the User Manual: For detailed guidance on every feature of CSViewer for Analysts, you can download the full user manual directly from our site. Click the button above to access the comprehensive manual and enhance your research capabilities.

Regression Modeling Documentation

Mac Support Coming Soon!

Introduction to Regression Modeling Enhancements

This document provides an in-depth guide on the advanced regression modeling features introduced in version 1.1. It covers the selection of models, the overlay of multiple models for comparative analysis, and enhanced management of model parameters through a new interface.

How to Use the Enhanced Regression Modeling Features

  1. Selecting Models: Easily select regression models directly from the XY Plot on the analytics menu.

  2. Overlaying Models: Perform comparative analysis by overlaying different models such as linear, logarithmic, and stepwise regression models.

  3. Managing Parameters: Enhanced display and management of model parameters are now available through a dedicated textbox.

These enhancements aim to improve the flexibility and accuracy of statistical analysis within the application. The document serves as a comprehensive guide for users looking to leverage these new features.