Union: Subset 2 square matrices to union of variables having nonzero...

In rags2ridges: Ridge Estimation of Precision Matrices from High-Dimensional Data

Subset 2 square matrices to union of variables having nonzero entries

Description

Convenience function that subsets 2 square matrices (over the same features) to the union of features that have nonzero row (column) entries (i.e., features implied in graphical connections).

Usage

Union(M1, M2)

Arguments

M1	(Possibly sparsified) square matrix.
M2	(Possibly sparsified) square matrix over the same features as M1.

Details

Say you have 2 class-specific precision matrices that are estimated over the same variables/features. For various reasons (such as, e.g., the desire to visualize pruned class-specific networks in the same coordinates) one may want to prune these matrices to those features that are implied in graphical connections in at least 1 class.

Value

An object of class list:

M1subset	A pruned matrix for class 1.
M2subset	A pruned matrix for class 2.

Author(s)

Carel F.W. Peeters <[e-mail]>

See Also

Ugraph

Examples

## Invoke data
data(ADdata)

## Subset
ADclass1 <- ADmetabolites[, sampleInfo$ApoEClass == "Class 1"]
ADclass2 <- ADmetabolites[, sampleInfo$ApoEClass == "Class 2"]

## Transpose data
ADclass1 <- t(ADclass1)
ADclass2 <- t(ADclass2)

## Correlations for subsets
rAD1 <- cor(ADclass1)
rAD2 <- cor(ADclass2)

## Simple precision estimates
P1 <- ridgeP(rAD1, 2)
P2 <- ridgeP(rAD2, 2)
Plist = list(P1 = P1, P2 = P2)

## Threshold matrices
Mats <- sparsify.fused(Plist, threshold = "top", top = 20)

## Prune sparsified partial correlation matrices
## To union of features implied by edge
MatsPrune <- Union(Mats$P1$sparseParCor, Mats$P2$sparseParCor)

rags2ridges documentation built on Oct. 14, 2023, 5:06 p.m.