Sim_data: Simulated high-dimensional data set for sparse linear...

In probe: Sparse High-Dimensional Linear Regression with PROBE

Simulated high-dimensional data set for sparse linear regression

Description

This dataset was simulated using a 20 \times 20 2-dimensional setting described in the reference. The data contains 400 subjects with one outcome and 400 predictor variables. The test outcomes and predictor variables are contained in Sim_data_test.

Usage

data("Sim_data")

Format

A data frame with 400 observations and the following objects:

Y

Outcome variable of length 400.

X

A 400 \times 400 matrix of binary predictor variables.

signal

The locations of the non-zero regression coefficients.

beta_tr

The true values of all 400 regression coefficients.

sigma2_tr

The true value of the residual variance.

Source

Simulated data.

Examples

data(Sim_data)
attach(Sim_data)
length(Y)
dim(X)

probe documentation built on Nov. 2, 2023, 5:49 p.m.