Training data

Description

Simulated training dataset. The x component is a matrix of explanatory variables, with 30 rows and 250 columns. Each row is simulated according to a multinormal distribution which mean depends on a group membership given by the y component. The variance matrix is the same within each group.

Usage

data(data.train)

Format

A list with 2 components. x is a 30x250 matrix of simulated explanatory variables. y is a 30x1 grouping variable (coded 1 and 2).

Examples

data(data.train)
dim(data.train$x) # 30 250
data.train$y # 2 levels
hist(cor(data.train$x[data.train$y==1,])) # high dependence 
hist(cor(data.train$x[data.train$y==2,]))

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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Type 'demo()' for some demos, 'help()' for on-line help, or
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> library(FADA)
Loading required package: MASS
Loading required package: elasticnet
Loading required package: lars
Loaded lars 1.2

> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/FADA/data.train.Rd_%03d_medium.png", width=480, height=480)
> ### Name: data.train
> ### Title: Training data
> ### Aliases: data.train
> 
> ### ** Examples
> 
> data(data.train)
> dim(data.train$x) # 30 250
[1]  30 250
> data.train$y # 2 levels
 [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
> hist(cor(data.train$x[data.train$y==1,])) # high dependence 
> hist(cor(data.train$x[data.train$y==2,]))
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>