SIDANetDataExample: Data example for SIDANet

In lasandrall/SIDA: Sparse Integrative Discriminant Analysis for Multi-view Structured Data

Data example for SIDANet

Description

Simulated data to demonstrate the use of SIDANet.

Usage

data(SIDANetDataExample)

Format

A list with 6 elements:

XdataNet

A list with each entry containing two views of training data with dimension 240\times 1000 each. Rows are samples and columns are variables.

YNet

240 \times 1 vector of training class membership. There are three classes each with size 80.

XtestdataNet

A list with each entry containing two views of testing data with dimension 480\times 1000 each. Rows are samples and columns are variables.

YtestNet

480 \times 1 vector of testing class membership. There are three classes each with size 160.

myedges

A list with each entry containing a 36\times 2 matrix of edge information for each view. Assumes variable 1 is connected to variables 2 to 10, variable 11 is connected to variables 12 to 20, variable 21 is connected to variables 22 to 30 and variable 31 is connected to variables 32 to 40. All remaining variables are singletons.

myedgeweight

A list with each entry containing edgeweight. In this example, views 1 and 2 have edge weights so the Laplacian of a weighted graph will be used.

References

Sandra E. Safo, Eun Jeong Min, and Lillian Haine (2019) , Sparse Linear Discriminant Analysis for Multi-view Structured Data, submitted

Examples

# see cvSIDANet or sidanet examples

lasandrall/SIDA documentation built on Oct. 19, 2022, 9:23 a.m.