three_circle_dat: Point cloud of three circles of different size and point...

In pterrace: Persistence Terrace for Topological Data Analysis

Description

A dataset containing 600 randomly generated points: 200 points from each circle.

Usage

data(three_circle_dat)

Format

A matrix of 600 rows and 2 columns

Examples

# load three circle data
data(three_circle_dat)

# input variables
Xlim <- c(-4,12)
Ylim <- c(-4,9)
lim <- cbind(Xlim, Ylim)
by <- 0.2
spseq <- seq(0.01,1.5,length.out = 10)

# compute persistence terrace
three_circle_pt <- computept(three_circle_dat,sp=spseq,lim=lim,by=by)

## Not run: 
# compute persistence terrace with parallel option
spseq <- seq(0.01,1.5,length.out = 30)
three_circle_pt <- computept(three_circle_dat,sp=spseq,lim=lim,by=by,par=TRUE)

## End(Not run)

# draw terrace area plot
terracearea(three_circle_pt,dimension=1)
# draw persistence terrace, satellite view
plotpt(three_circle_pt,dimension=1)
# draw persistence terrace, overall view
plotpt(three_circle_pt,dimension=1,satellite=FALSE)

pterrace documentation built on May 2, 2019, 10:08 a.m.