RegularizedSCA (version 0.5.4)

VAF: Proportion of variance accounted for (VAF) for each block and each principal component.

Description

Proportion of variance accounted for (VAF) is calculated for each block and each column.

Usage

VAF(DATA, Jk, R)

Arguments

DATA

A matrix, which contains the concatenated data with the same subjects from multiple blocks. Note that each row represents a subject.

Jk

A vector containing number of variables in the concatinated data matrix.

R

Number of components (R>=2).

Value

block

Proportion of VAF for each block.

component

Proportion of VAF for each component of each block.

References

Schouteden, M., Van Deun, K., Wilderjans, T. F., & Van Mechelen, I. (2014). Performing DISCO-SCA to search for distinctive and common information in linked data. Behavior research methods, 46(2), 576-587.

Schouteden, M., Van Deun, K., Pattyn, S., & Van Mechelen, I. (2013). SCA with rotation to distinguish common and distinctive information in linked data. Behavior research methods, 45(3), 822-833.

Examples

# NOT RUN {
DATA1 <- matrix(rnorm(50), nrow=5)
DATA2 <- matrix(rnorm(100), nrow=5) 
DATA <- cbind(DATA1, DATA2)
Jk <- c(10, 20) 
R <- 5
VAF(DATA, Jk, R)
# }