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armada (version 0.1.0)

toys.data.reg: Toys data in regression case

Description

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

Usage

toys.data.reg

Arguments

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

Run this code
# NOT RUN {
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)
# }

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