toys.data.reg: Toys data in regression case

In armada: A Statistical Methodology to Select Covariates in High-Dimensional Data under Dependence

Description

toys.data.reg is a simple simulated dataset of a regression problem.

Usage

toys.data.reg

Format

An object of class list of length 2.

Details

• $Y: output variable;

• $x A data-frame containing input variables: with 30 obs. of 50 variables.

The data-frame x is composed by 2 independant clusters, each cluster contains 25 correlated variables. There is only 5 true variables, that are in the first cluster : Y =50*(x[,1]+x[,2]+x[,3]+x[,4]+x[,5]). The other variables are noise.

Examples

library(ClustOfVar)
library(impute)
library(FAMT)
library(VSURF)
library(glmnet)
library(anapuce)
library(qvalue)
X<-toys.data.reg$x
Y<-toys.data.reg$Y
scoreX<-data.frame(c(rep(8,5),rep(0,45)))
rownames(scoreX)<-colnames(X)
select<-ARMADA.heatmap(X, Y,  scoreX, threshold=1)
## Not run: 
result<-ARMADA(X,Y, nclust=2)
select<-ARMADA.heatmap(X, Y,  result[[3]], threshold=5)

## End(Not run)

armada documentation built on May 2, 2019, 6:37 a.m.