test_dataSimu_group: Test data simulation with group sparse pattern

In YipengUva/RpESCA: R implementaion of pESCA models with various concave penalties

Description

This function will test if the simulated data sets have the proper properties, such as correct data types, orghogonal score matrix, score matrix has 0 column means, group sparsity, with correct SNRs.

Usage

test_dataSimu_group(n, ds, dataTypes)

Arguments

n	the number of objects
ds	a vector for the number of variables in each data set
dataTypes	a string indicates the data type of each data set, possible options include 'G': Gaussian, 'B': Bernoulli.

Value

This function returns a list contains all the test results

Examples

## Not run: 
test_results_GGG <- test_dataSimu_group(n=n, ds=ds,
                                dataTypes = 'GGG')
test_results_BBB <- test_dataSimu_group(n=n, ds=ds,
                                dataTypes = 'BBB')

## End(Not run)

YipengUva/RpESCA documentation built on July 2, 2019, 6:41 p.m.