## ---- include = FALSE--------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ---- eval=FALSE-------------------------------------------------------------- # library(rPACI) # dataset = simulateData() # plot(dataset$x,dataset$y) ## ---- echo=FALSE-------------------------------------------------------------- library(rPACI) dataset = simulateData() par(mar=c(1.5,1.6,.1,.1), mgp=c(0,0.5,0)) plot(dataset$x,dataset$y,pch=20,cex=0.3,cex.axis=0.5,asp=1, xlab="", ylab="") ## ---- eval=FALSE-------------------------------------------------------------- # dataset = simulateData(rings = 15, pointsPerRing = 128, diameter = 8) # plot(dataset$x,dataset$y) ## ---- echo=FALSE-------------------------------------------------------------- dataset = simulateData(rings = 15, pointsPerRing = 128, diameter = 8) par(mar=c(1.5,1.6,.1,.1), mgp=c(0,0.5,0)) plot(dataset$x,dataset$y,pch=20,cex=0.3,cex.axis=0.5,asp=1, xlab="", ylab="") ## ---- eval=FALSE-------------------------------------------------------------- # dataset = simulateData(rings = 15, ringRadiiPerturbation = 0.7) # plot(dataset$x,dataset$y) ## ---- echo=FALSE-------------------------------------------------------------- dataset = simulateData(rings = 15, ringRadiiPerturbation = 0.7) par(mar=c(1.5,1.6,.1,.1), mgp=c(0,0.5,0)) plot(dataset$x,dataset$y,pch=20,cex=0.3,cex.axis=0.5,asp=1, xlab="", ylab="") ## ---- eval=FALSE-------------------------------------------------------------- # dataset = simulateData(rings = 12, maximumMireDisplacement = 2, mireDisplacementAngle = 45) # plot(dataset$x,dataset$y) ## ---- echo=FALSE-------------------------------------------------------------- dataset = simulateData(rings = 12, maximumMireDisplacement = 2, mireDisplacementAngle = 45) par(mar=c(1.5,1.6,.1,.1), mgp=c(0,0.5,0)) plot(dataset$x,dataset$y,pch=20,cex=0.3,cex.axis=0.5,asp=1, xlab="", ylab="") ## ---- eval=FALSE-------------------------------------------------------------- # dataset = simulateData(rings = 12, maximumMireDisplacement = 2, mireDisplacementAngle = 45, mireDisplacementPerturbation = 1.2) # plot(dataset$x,dataset$y) ## ---- echo=FALSE-------------------------------------------------------------- dataset = simulateData(rings = 12, maximumMireDisplacement = 2, mireDisplacementAngle = 45, mireDisplacementPerturbation = 1.2) par(mar=c(1.5,1.6,.1,.1), mgp=c(0,0.5,0)) plot(dataset$x,dataset$y,pch=20,cex=0.3,cex.axis=0.5,asp=1, xlab="", ylab="") ## ---- eval=FALSE-------------------------------------------------------------- # dataset = simulateData(ellipticAxesRatio = 0.8, ellipticRotation = 30) # plot(dataset$x,dataset$y) ## ---- echo=FALSE-------------------------------------------------------------- dataset = simulateData(ellipticAxesRatio = 0.8, ellipticRotation = 30) par(mar=c(1.5,1.6,.1,.1), mgp=c(0,0.5,0)) plot(dataset$x,dataset$y,pch=20,cex=0.3,cex.axis=0.5,asp=1, xlab="", ylab="") ## ---- eval=FALSE-------------------------------------------------------------- # dataset = simulateData(overallNoise = 0.2) # plot(dataset$x,dataset$y) ## ---- echo=FALSE-------------------------------------------------------------- dataset = simulateData(overallNoise = 0.2) par(mar=c(1.5,1.6,.1,.1), mgp=c(0,0.5,0)) plot(dataset$x,dataset$y,pch=20,cex=0.3,cex.axis=0.5,asp=1, xlab="", ylab="") ## ---- eval=FALSE-------------------------------------------------------------- # dataset = simulateData(maximumMireDisplacement = 1.5, mireDisplacementAngle = 135, ringRadiiPerturbation = 1, mireDisplacementPerturbation = 0.8, ellipticAxesRatio = 0.8, ellipticRotation = 30) # plot(dataset$x,dataset$y) ## ---- echo=FALSE-------------------------------------------------------------- dataset = simulateData(maximumMireDisplacement = 1.5, mireDisplacementAngle = 135, ringRadiiPerturbation = 1, mireDisplacementPerturbation = 0.8, ellipticAxesRatio = 0.8, ellipticRotation = 30) par(mar=c(1.5,1.6,.1,.1), mgp=c(0,0.5,0)) plot(dataset$x,dataset$y,pch=20,cex=0.3,cex.axis=0.5,asp=1, xlab="", ylab="")