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Regression results from a model fitting to the percent change in number of cells as a function of principal cell populations (frequency >1%%) and drugs (Marker and Drug variables) are shown in Additional file 5: Table S2 and the results of post hoc tests for percent change between cell populations are shown in Additional file 5: Table S3.
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They expressed the matrix representing all element correlations as a function of its principal components, and corresponding weights for each component.
A screen plot (Fig. 5a, b) shows the eigen values sorted from large to small as a function of the principal component number.
Von Mises stress is a function of the principal stresses (σ1, σ2, & σ3) that measures how stress distorts material.
In PCA, each manifest variable is a linear function of principal components, with no separate representation of unique variance {text{Y}} = {text{Z}}_{text{c}} {text{K}}_{c}^{prime }where, Zc is a N*p matrix of standardized component scores and Kc is a p*p matrix of component loading.
It is based on the evolution of the volume fraction of broken fibres as a function of the maximum principal stress in the fibre family.
In Fig. 6, the cross-PCA score as a function of the number of principal components have been plotted.
Figures 2 and 3 show the correlation of TBV with EBV and the regression of TBV on EBV as a function of the number of principal components for PCR.
The evolution of the fraction of coalesced cavities and the average cavity size as a function of strain were the principal model predictions.
Since the representation used in Figure 8 cannot be directly correlated to the Cartesian in-plane strain components x and y, the maps of Figure 9b g were drawn as a function of the axial (first) principal strain component.
The main stress regime is a function of the orientation of the principal axes and the shape of the stress ellipsoid: extensional when σ1 is vertical, strike-slip when σ2 is vertical, and compressional when σ3 is vertical.
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