mpSTATIS.core: mpSTATIS.core

In MExPosition: Multi-table ExPosition

Description

mpSTATIS.core performed the core of STATIS.

Usage

mpSTATIS.core(data, num.obs, column.design, num.groups, optimization.option = 'STATIS')

Arguments

data	Matrix of preprocessed data
num.obs	Number of Observations
column.design	Matrix which identifies the tables.
num.groups	Number of Groups/Tables
optimization.option	String option with the following options: 'None', 'STATIS', 'RV Matrix' and 'STATIS Power 1'

Value

S	Scalar Product Matrices
RVMatrix	RV Matrix
C	C Matrix
eigs.vector	Inner Product: Eigen Vectors of S
eigs	Inner Product: Eigen Value
fi	Inner Product: Factor Scores
tau	Inner Product: Percent Variance Explained
alphaWeights	Alpha Weights
compromise	Compromise Matrix
compromise.eigs.vector	Compromise: Eigen Vectors
compromise.eigs	Compromise: Eigen Values
compromise.fi	Compromise: Factor Scores
compromise.ci	Compromise: contribution of the rows
compromise.cj	Compromise: contribution of the colunbs
compromise.tau	Compromise: Percent Variance Explained
table.eigs.value	Table: Eigen Values
table.eigs	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.ci	Table: contribution of the rows
table.cj	Table: contribution of the columns
table.tau	Table: Percent Variance Explained

Author(s)

Cherise R. Chin Fatt and Hervé Abdi.

References

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.

Abdi, H., & Valentin, D. (2007). STATIS. In N.J. Salkind (Ed.): Encyclopedia of Measurement and Statistics. Sage. pp. 955-962.

See Also

mpSTATIS, mpDISTATIS.core, mpDISTATIS

MExPosition documentation built on May 29, 2017, 2:27 p.m.