The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/22134674

Gomaz, Larisa (2023): R code underlying the analysis reported in Predicting elbow load based on individualised (inter)segmental rotation in fastball pitching. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/22134674.v1

Software

• Applied Mathematics
• Human Movement and Sports Science

baseball, elbow load, external valgus torque, kinetic chain, prediction

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Larisa Gomaz

The R code for external valgus torque prediction in baseball pitching. We fitted two-level varying-intercept, varying-slope Bayesian models with various combinations of observed kinematic predictors (pelvis peak angular velocity, trunk peak angular velocity and separation time). The weight and height of the pitchers were added to the kinematic predictors in all models to strengthen the individualization of the external valgus torque prediction. The purpose of the external valgus torque future prediction is to estimate elbow loading for every individual pitcher, not only ones included in this study. Therefore we used leave-one-group-out cross-validation to select the model with best predictive performance.

• 2023-02-24 first online, published, posted

4TU.ResearchData

*.R

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft Institute of Applied Mathematics (DIAM)