generate_data {GLMaSPU} | R Documentation |
Generate data for generalized linear models in simulation.
Description
generate_data
returns simulated data, including response Y, covariates Z, and variable of interest X.
Usage
generate_data(seed, n, p, beta, alpha)
Arguments
seed |
Random seed. |
n |
Number of samples |
p |
Dimension of variable of interest |
beta |
Coefficients for covariates Z |
alpha |
Coefficients for variable of interest X |
Value
A list object
Author(s)
Chong Wu and Wei Pan
References
Chong Wu, Gongjun Xu and Wei Pan, "An Adaptive test on high dimensional parameters in generalized linear models" (Submitted)
Examples
p = 200
n = 100
beta = c(1,3,3)
s = 0.15
signal.r = 0.08
non.zero = floor(p * s)
seed = 2
alpha = c(rep(signal.r,non.zero),rep(0,p-non.zero))
dat = generate_data(seed, n = n, p = p, beta = beta,alpha = alpha)
#X, Y, cov
#dat$X; dat$Y; dat$cov
[Package GLMaSPU version 1.0 Index]