sp_bgsmtr_example_data: Example Structural Neuroimaging and Genetic Data for Spatial...

In bgsmtr: Bayesian Group Sparse Multi-Task Regression

Description

This example dataset has simulated dataset with 632 subjects, 486 SNPs from 24 structural neuroimaging measures. It also contains example datasets used for regularization path plotting function.

Usage

data(sp_bgsmtr_example_data)

Format

A list with four components: "SNP_data", "SNP_groups", "BrainMeasures", "path_data" SNP_data is a 486-by-632 matrix containing minor allele counts for 632 subjects and 486 SNPs. neighbourhood_structure is a 12 by 12 first order neighbourhood structure matrix. BrainMeasures is a 24-by-632 matrix containing simulated volumetric and cortical thickness measures for 24 regions of interest.

path_data is a list of two elements. The fist element is "lambda_v", which is a vector of different lambda squared values. The second element is "W_est_list", which is a list containing estimated coefficients matrices W for each corresponding lambda squared value.

Examples

data(sp_bgsmtr_example_data)
names(sp_bgsmtr_example_data)
dim(sp_bgsmtr_example_data$SNP_data)
dim(sp_bgsmtr_example_data$BrainMeasures)
dim(sp_bgsmtr_example_data$neighbourhood_structure)
length(sp_bgsmtr_example_data$path_data$lambda_v)
length(sp_bgsmtr_example_data$path_data$W_est_list)

Example output

Loading required package: Matrix
Loading required package: mvtnorm
Loading required package: matrixcalc
Loading required package: miscTools
[1] "SNP_data"                "Brain_measures"         
[3] "neighbourhood_structure"
[1] 486 632
NULL
[1] 12 12
[1] 0
[1] 0

bgsmtr documentation built on Dec. 16, 2019, 1:35 a.m.