Sentence examples for matrix of components from inspiring English sources
Table 2 Matrix of components (use of ICTs) Items Dimension Local internet network 0.729 Internet 0.499 Intranet 0.756 Exchange of computerized data Internet 0.736 Web site (their own or shared) 0.756 Cronbach's alpha 0.721 Kaiser-Meyer-Olkin (KMO) 0.753 Eigenvalue 2.466 % variance 49.313 Bartlett sphericity test chi square 113.45 df 10 sig 0.000.
Table 3 Matrix of components (interaction with clients) Items Dimension Reducing costs 0.919 Increasing the number of clients 0.94 Better coordination with clients and suppliers 0.938 Shrinking the time to market 0.936 Cronbach's alpha 0.951 Kaiser-Meyer-Olkin (KMO) 0.846 Eigenvalue 3.485 % variance 87.143 Bartlett Sphericity Test chi square 435.416 df 6 sig 0.000.
The variance, explained as the matrix of components, confirms the robustness of the separated use of the excitement component of the PANSS.
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.
The p × p matrix of component loadings (i.e., the correlation coefficients between Zc and Y) is calculated as follows (De Winter and Dodou 2016; Howladar and Rahman 2016): {text{K}}_{text{c}} = {text{ W}}.
The PCA matrix of component loadings (Table 2) shows the correlation between the original morphological measurements and the two principal components.
Given the foregoing matrix of component correlations, a second-order PC factor analysis was performed on the eight factor scores (Gorsuch, 1983).
The composite matrix A is defined as follows: (3) where A s is the distance matrix of component s, s=1,···, S (number of components) and each submatrix R of appropriate size describes the possible distance values between feature points of two components.
Quality of prescription may be considered as a cumulative matrix of multiple components of a prescription on the basis of their relative importance.
where X is the response matrix, E is the elemental distribution profile matrix of the components, and C is the composition profile matrix for the samples.
(A) Dendrogram of clustering pattern measured from the matrix of principal components of 90 recurrence-associated pathways (p- value < 0.01) from public HBV-HCC.
