pmd (version 0.2.7)

pcasf: Compare matrices using PCA similarity factor

Description

Compare matrices using PCA similarity factor

Usage

pcasf(x, y, dim = NULL)

Value

Ratio of projected variance to total variance

Arguments

x

Matrix with sample in column and features in row

y

Matrix is compared to x.

dim

number of retained dimensions in the comparison. Defaults to all.

Author

Edgar Zanella Alvarenga

References

Singhal, A. and Seborg, D. E. (2005), Clustering multivariate time-series data. J. Chemometrics, 19: 427-438. doi: 10.1002/cem.945

Examples

c1 <- matrix(rnorm(16),nrow=4)
c2 <- matrix(rnorm(16),nrow=4)
pcasf(c1, c2)