generate_data {GLMaSPU} | R Documentation |
generate_data
returns simulated data, including response Y, covariates Z, and variable of interest X.
generate_data(seed, n, p, beta, alpha)
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 |
A list object
Chong Wu and Wei Pan
Chong Wu, Gongjun Xu and Wei Pan, "An Adaptive test on high dimensional parameters in generalized linear models" (Submitted)
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