# genLP: Generate Line and Plane Example with Fixed Number of... In T4cluster: Tools for Cluster Analysis

## Description

This function generates a toy example of 'line and plane' data in R^3 that data are generated from a mixture of lines (one-dimensional) planes (two-dimensional). The number of line- and plane-components are explicitly set by the user for flexible testing.

## Usage

 1 genLP(n = 100, nl = 1, np = 1, iso.var = 0.1) 

## Arguments

 n the number of data points for each line and plane. nl the number of line components. np the number of plane components. iso.var degree of isotropic variance.

## Value

a named list containing with m = n\times(nl+np):

data

an (m\times 3) data matrix.

class

length-m vector for class label.

dimension

length-m vector of corresponding dimension from which an observation is created.

## Examples

  1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 ## test for visualization set.seed(10) tester = genLP(n=100, nl=1, np=2, iso.var=0.1) data = tester$data label = tester$class ## do PCA for data reduction proj = base::eigen(stats::cov(data))\$vectors[,1:2] dat2 = data%*%proj ## visualize opar <- par(no.readonly=TRUE) par(mfrow=c(2,2), pty="s") plot(dat2[,1],dat2[,2],pch=19,cex=0.5,col=label,main="PCA") plot(data[,1],data[,2],pch=19,cex=0.5,col=label,main="Axis 1 vs 2") plot(data[,1],data[,3],pch=19,cex=0.5,col=label,main="Axis 1 vs 3") plot(data[,2],data[,3],pch=19,cex=0.5,col=label,main="Axis 2 vs 3") par(opar) ## Not run: ## visualize in 3d x11() scatterplot3d::scatterplot3d(x=data, pch=19, cex.symbols=0.5, color=label) ## End(Not run) 

T4cluster documentation built on Aug. 16, 2021, 9:07 a.m.