Sentence examples for component matrices from inspiring English sources

The rotated component matrices are presented in Additional file 1: Table S2.

In this manner, component matrices (Equations 24 and 25) are of the dimension N l ×N l.

Also, we decompose the total variability matrix T = T 1 T, T 2 T, …, T C T T to its component matrices, one associated with each Gaussian.

An equivalent notation could still be used by instead defining aggregate matrices as a block-diagonal formation of the component matrices instead of a horizontal concatenation.

We found that the median cross-validation error reached its nadir with N = 3, suggesting that the net co-culture ratio for each cell line pairing resulted from the sum of interaction values represented by three distinct component matrices.

Decomposing the matrix of co-culture ratios into a sum of N component matrices, we used a leave-one-out cross-validation strategy to define the optimal value for N (Figure 4; see materials and methods for full details of the model).

Correlation coefficients revisited The correlation matrix and PCA The component matrix The rotated component matrix A detailed example Choosing a method of rotation Sample size requirements Hierarchical multiple factor analysis The effects of variable selection.

Given that varimax rotation may impose some correlations between the columns of the principal component matrix, we performed permutations on the rows of the unrotated matrix, subsequently applying component rotation and calculating a random map on each permutation in the same way as it was done for the real principal components.

Interference due to the real component matrix were also studied and long term stability of the designed sensor was evaluated.

See Table 4 for the component matrix.

Then correlation matrix and principal component matrix are obtained for eleven parameters.