AR1SIM: Simulated gene expression data

In haimbar/SEMMS: Variable selection in Generalized Linear Models - an empirical Bayes approach

Description

AR1SIM is a simulated dataset with a hub structure, consisting of 1000 predictors arranged in 50 hubs. The response variable was constructed as the sum of the variables in the first hub, plus some Gaussian noise.

Format

A 1001 by 100 matrix.

Examples

## Not run: 
fn <- system.file("extdata", "AR1SIM.RData", package = "SEMMS", mustWork = TRUE)
dataYXZ <- readInputFile(fn, ycol=1, Zcols=2:100)
fittedSEMMS <- fitSEMMS(dataYXZ, mincor=0.8, nn=15, minchange= 1,
                        distribution="N",verbose=T,rnd=F)
fittedGLM <- runLinearModel(dataYXZ,fittedSEMMS$gam.out$nn, "N")
plotMDS(dataYXZ, fittedSEMMS, fittedGLM, ttl="AR1 simulation")
## End(Not run)

haimbar/SEMMS documentation built on Dec. 20, 2021, 2:44 p.m.