gen.data {sSDR} | R Documentation |
Simulate data
gen.data(n, rho = 0.5, theta = 1, binary = FALSE)
n |
Sample size. |
rho |
Pairwise correlation between covariates. |
theta |
Standard deviation of the random error. |
binary |
If TRUE, generate binary responses; otherwise, by default, create continuous responses. |
This function simulates data as presented in Liu (2015).
gen.data returns a list containning at least the following components: "X", a covariate matrix of n observations and p predictors; "y", a univariate response; "b.true", the actual coefficients for each predictor group.
Liu, Y. (2015). Approaches to reduce and integrate data in structured and high-dimensional regression problems in Genomics. Ph.D. Dissertation, The Pennsylvania State University, University Park, Department of Statistics.
data <- gen.data(n=100)
names(data)