create_syn_data_toy: An illustrative synthetic data collection

In cocoreg: Extract Shared Variation in Collections of Data Sets Using Regression Models

Description

Model: D_k = D_shared_by_all + D_shared_by_subset + D_unique,

Usage

create_syn_data_toy(N = 100, normalize = T, noisemf = 0.1)

Arguments

N	Number of observations in data as integer
normalize	(optional) Should the data be processed with dl_scale()? A boolean value.
noisemf	(optional) Multiplication factor for noise

Value

A list with elements

data	Data collection as a list of data.frames
Z_all	Signals shared by all datasets in the collection
Z_sub	Signals not shared by all datasets
W_all	Mixing weights for Z_all
W_sub	Mixing weights for Z_sub
E	Noise
var.coef	Noise multiplication factor used

Examples

## Not run: 
dc <- create_syn_data_toy()
ggplot_dflst(dc$data, ncol = 1)

## End(Not run)

cocoreg documentation built on May 2, 2019, 6:48 a.m.