tukeyTexture: Generate random positions based on Tukey texture algorithm

In vipor: Plot Categorical Data Using Quasirandom Noise and Density Estimates

Description

Generate partly random, partly constrained lateral displacements based on Tukey texture algorithm from Tukey and Tukey 1990

Usage

tukeyTexture(x, jitter = TRUE, thin = FALSE, hollow = FALSE,
  delta = diff(stats::quantile(x, c(0.25, 0.75))) * 0.03)

Arguments

x	the points to be jittered. really only used to calculate length
jitter	if TRUE add random jitter to each point
thin	if TRUE then push points to the center in thin regions
hollow	if TRUE then expand points outward to avoid “hollowness”
delta	a “reasonably small value” used in edge straightening and thinning

Value

a vector of length length(x) giving displacements for each corresponding point in x

Examples

x<-rnorm(200)
plot(tukeyTexture(x),x)
x<-1:100
plot(tukeyTexture(x),x)
plot(tukeyTexture(log10(counties$landArea),TRUE,TRUE),log10(counties$landArea),cex=.25)

vipor documentation built on May 1, 2019, 7:06 p.m.