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Geomorph is a software package for R, a programming language and software environment for statistical computing and graphics. Geomorph provides tools for the statistical analysis of shape and form data, including methods for landmark-based geometric morphometrics.

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2 protocols using geomorph

1

Geometric Morphometric Analysis of Shape

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Geometric morphometric statistical analyses were used for quantification and comparison of subtle shape and size differences. Landmark data underwent Procrustes superimposition using the R package geomorph [36, 37] (R Foundation for Statistical Computing, Vienna, Austria, 2017), and subsequent analyses were conducted on Procrustes coordinate data. Differences in each sections' shape were compared with a non-parametric MANOVA using the ProcD function in the R package geomorph ( [37] , R Foundation for Statistical Computing, Vienna, Austria, 2017); [38] .
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2

Scapula Landmark-Based Morphometrics

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For each individual we first recorded the 3D coordinates of 29 anatomical landmarks on each scapula surface model (Supplemental S1). These landmarks were chosen to capture the shape of the body, glenoid, spine, acromion, and coracoid process and are based on standards in comparative morphology (Young, 2004 ; Young, 2006 (link); Young et al., 2015 (link)). The landmarks were placed by a single user using a semiautomated user-directed method in the software Landmark Editor 3.6 (IDAV, Davis, CA, USA). Shape was quantified using three-dimensional geometric morphometrics (Zelditch et al., 2012 ). First, the raw 3D coordinates for each scapula were aligned and scaled to a common centroid size and rotated to minimize distance via generalized Procrustes superimposition as implemented in the R statistical software package geomorph (R Foundation for Statistical Computing, Vienna, Austria). We further tested for and removed the effects of allometry (size:shape relationships) by regressing against centroid size and utilizing the computed residuals.
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