MorphoTools2: an R package for multivariate morphometric analysis.

Area of Science:

• Morphometrics
• Bioinformatics
• Statistical Computing

Background:

• Multivariate analyses of morphological data are crucial in various scientific fields.
• Existing R packages for these analyses are often fragmented, hindering workflow efficiency.
• A unified and comprehensive toolset is needed for streamlined morphological data analysis.

Purpose of the Study:

• To introduce MorphoTools2, a novel R package designed for multivariate morphological data analysis.
• To consolidate commonly used statistical and graphical tools into a single, convenient package.
• To provide a comprehensive framework for data checking, manipulation, statistical analysis, and result visualization.

Main Methods:

• Development of the MorphoTools2 R package.
• Integration of existing statistical and graphical tools for morphological data.
• Implementation of functions for data input validation, manipulation, core statistical analyses, and visualization.

Main Results:

• MorphoTools2 offers a unified environment for multivariate morphological data analysis.
• The package simplifies and accelerates the workflow by centralizing essential tools.
• It provides a wide array of functions for comprehensive data handling and result presentation.

Conclusions:

• MorphoTools2 enhances the efficiency and accessibility of multivariate morphological data analysis.
• The package serves as a valuable resource for researchers in fields utilizing morphological data.
• It promotes reproducible and robust analyses through its integrated functionalities.