Each row represents actual groups whereas the columns represent predicted groups. Groups identified through the TCS analysis are shown in parentheses. The reduction in classification error (47.5%) sho

NIAID Data Ecosystem10

Dalziel_2016_DFA_Results

判别函数分析

统计可视化

File with appropriate number of rows (85) for output from DFA (Figure 7) to allow for plots of the first and second linear discriminant.

DataONE2016-09-22 更新30

F-test results between groups (DF = 3, 106) for stepwise discriminant function analyses for locomotor group using five humeral head trabecular bone variables.

骨骼生物力学

判别函数分析

Upper half of plot: p-values, lower half of plot: F-scores.Stepwise analyses included DA, Tb.N. and ConnD in the final ‘best fit’ solution (thus excluding SMI and Tb.Th.), the results for which are pr

Figshare2015-12-02 更新20

Results of DFA investigating individual distinctiveness.

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