Fig 1.
Schematic diagram of higher-dimensional analysis methodology employed in the study.
(SVD = singular value decomposition; LSV = left singular vector).
Table 1.
Univariate analysis results for the exploratory and validation datasets.
Table 2.
Descriptive statistics and ANOVA results for the amateur, academy and professional sub-groups in the exploratory dataset.
Table 3.
Linear and rotated coefficients derived from SVD analysis of all the variables in the exploratory dataset.
Fig 2.
Results of SVD analysis of the exploratory dataset using the variables: Years from PHV; Height; Body Mass, 10 m Sprint; 60 m Sprint; Agility 505 right; Agility 505 left; and Estimated VO2max.
Scatter-plot of the first and second left singular vectors (LSVs).
Table 4.
Variable coefficients derived from SVD analysis of the reduced set of variables in the exploratory dataset.
Fig 3.
Cut-off demarcation line (blue line) necessary to achieve optimum separation of the amateur and professional sub-groups in the exploratory dataset.
Table 5.
Results of the ROC analysis using the exploratory dataset.
Table 6.
Descriptive statistics and ANOVA results for the amateur, academy and professional sub-groups in the validation dataset.
Fig 4.
Results of SVD analysis of the validation dataset using the variables: Years from PHV; Height; Body Mass; 10 m Sprint; 60m Sprint; Agility 505 right; Agility 505 left; Estimated VO2max.
Scatter-plot of the first and second left singular vectors (LSVs).
Table 7.
Results of the ROC analysis using the validation dataset.
Table 8.
Rotated coefficients of the diagnostic metrics for the exploratory and validation datasets.
Fig 5.
Scatter-plot of 60 m Sprint and Agility 505 left for the exploratory dataset.
Fig 6.
Scatter-plot of 60 m Sprint and Agility 505 left for the validation dataset.