This repository includes the following code and data for the paper "Determination of Interindividual Differences in Glenohumeral Center of Rotation Translations in Healthy Subjects", submitted to Royal Society Open Science: 10.5281/zenodo.10972004. "Translations_Per_Subject_And_Motion.zip": zipped folder containing translations of the humeral head center in the glenoid coordinate system across the time trial per subject and motion trial. This data can be used to plot subject-specific translation patterns across the trial. "translations_and_parameters.csv": contains anatomic, postural, and translation input data for the statistical tests. Translation data in this .csv is reported as maximum excursions of the humeral head in the glenoid axes across the trial. The following translations are reported: 3D ("max_translation" column), anteroposterior ("X_translation" column), superoinferior ("Y_translation" column), and mediolateral ("Z_translation" column). "translationsStats_for_submission.Rmd": statistical analysis code (R markdown file) for the summary statistics and linear mixed effects model for the paper A PDF of the .rmd document, with printed code and output including graphs, along with explanations and interpretations, is included as Appendix II with the paper and also duplicated here. This enables viewing the code and statistical results without requiring running the code in R. Note not all sections (i.e. age distribution summary statistics) are printed out in the PDF since they are reported in the paper, but the code for these is included in the .RMD and can be run by setting eval = TRUE. Translations were calculated from the bone kinematics in the open access biplanar fluoroscopy dataset available here: 10.5281/zenodo.10972004 (v1.1). The updated dataset (v1.2) fixed a temporal syncing with vicon and biplane data, but in our study, the only vicon data that was used was for postural analysis, where all thorax markers in the static trial were averaged across the trial to determine resting posture. Therefore, the dataset update should not affect our analysis.