Description Usage Arguments Details Value Author(s) References See Also
View source: R/mpKPlus1STATIS.core.R
Performs the core of (K+1) STATIS
1 2 | mpKPlus1STATIS.core(data, plus1data, num.obs, column.design, num.groups,
optimization.option = 'STATIS')
|
data |
Matrix of preprocessed data |
plus1data |
Matrix of preprocessed external table |
num.obs |
Number of observations |
column.design |
Column Design for data - used to identifty the tables of the data matrix |
num.groups |
Number of groups |
optimization.option |
String option of either 'None', 'Multiable', 'RV_Matrix', 'STATIS' (DEFAULT), or 'STATIS_Power1' |
Computation of (K+1) STATIS. This function should not be used independently. It should be used with mpKPlus1STATIS
S |
Inner Product: Scalar Product Matrices of dataset |
S.star |
Inner Product: Scalar Product Matrices * of dataset |
rvMatrix.star |
Inner Product: RV Matrix * |
C |
Inner Product: C Matrix of S* |
ci |
Inner Product: Contribution of the rows of C* |
cj |
Inner Product: Contribuition of the columns of C* |
eigs |
Inner Product: Eigen Values of C* |
eigs.vector |
Inner Product: Eigen Vectors of C* |
eigenValue |
Inner Product: Eigen Value of C* |
fi |
Inner Product: Factor Scores of C* |
tau |
Inner Product: Percent Variance Explained of C* |
alphaWeights |
Inner Product: Alpha Weights * |
compromise |
Compromise Matrix |
compromise.eigs |
Compromise: Eigen Values |
compromise.eigs.vector |
Compromise: Eigen Vector |
compromise.fi |
Compromise: Factor Scores |
Compromise.tau |
Compromise: Percent Variance Explained |
compromise.ci |
Compromise: Contributions of the rows |
compromise.cj |
Compromise: Contributions of the Columns |
masses |
Table: masses |
table.eigs |
Table: Eigen Values |
table.eigs.vector |
Table: Eigen Vectors |
table.loadings |
Table: Loadings |
table.fi |
Table: Factor Scores |
table.partial.fi |
Table: Partial Factor Scores |
table.partial.fi.array |
Table: Array of Partial Factor Scores |
table.tau |
Table: Percent Variance Explained |
Cherise R. Chin Fatt and Hervé Abdi.
Abdi, H., Williams, L.J., Valentin, D., & Bennani-Dosse, M. (2012). STATIS and DISTATIS: Optimum multi-table principal component analysis and three way metric multidimensional scaling. Wiley Interdisciplinary Reviews: Computational Statistics, 4, 124-167
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