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

In ZhengguoGu/RSCA: Regularized Simultaneous Component Based Data Integration

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)

## End(Not run)

ZhengguoGu/RSCA documentation built on July 5, 2019, 2:26 a.m.