calculateCircle: Generate points from a circle

In CVD: Color Vision Deficiencies

Description

calculateCircle generates points from a circle with many options, equally spaced, randomly spaced, with noise added to the radius or limited to a segment of angle alpha.

Usage

calculateCircle(x, y, r, steps=50,sector=c(0,360),randomDist=FALSE, 
randomFun=runif,...)

Arguments

x	center point x
y	center point y
r	radius
steps	number of points
sector	limited circular sector
randomDist	logical, TRUE = randomly spaced
randomFun	random function
...	optiomal parameters to pass to randomFun

Value

points

array n x 2 of point coordinates.

Author(s)

Jose Gama

Examples

## Not run: 
# 100 points from a circle at c(0,0) with radius=200
a<-calculateCircle(0,0,200,100)
plot(a[,1],a[,2],xlim=c(-200,200),ylim=c(-200,200))
par(new=TRUE)
# 12 points from a circle at c(0,0) with radius=190, points between 0 and 90
# degrees
a<-calculateCircle(0,0,190,12,c(0,90))
plot(a[,1],a[,2],xlim=c(-200,200),ylim=c(-200,200),col='red')
par(new=TRUE)
# 12 points from a circle at c(0,0) with radius=180, points between 0 and 180
# degrees, uniform random distribution
a<-calculateCircle(0,0,180,12,c(0,180),TRUE)
plot(a[,1],a[,2],xlim=c(-200,200),ylim=c(-200,200),col='green')
par(new=TRUE)
# 12 points from a circle at c(0,0) with radius=170, points between 0 and 180
# degrees, normal random distribution
a<-calculateCircle(0,0,170,12,c(0,180),TRUE,rnorm)
plot(a[,1],a[,2],xlim=c(-200,200),ylim=c(-200,200),col='blue')

## End(Not run)

Example output

CVD documentation built on May 2, 2019, 6:30 p.m.