Class Dependence Simulations

In mgc: Multiscale Graph Correlation

knitr::opts_chunk$set(fig.width=4, fig.height=3)

require(mgc)
require(ggplot2)
n=400
d=2
K=5

plot_sim <- function(X, Y, name) {

  data <- data.frame(x1=X[,1], x2=X[,2], class=Y)
  ggplot(data, aes(x=x1, y=x2, color=class)) +
    geom_point() +
    xlab("x1") +
    ylab("x2") +
    ggtitle(name) +
    theme_bw()
}

Linear

sim <- discr.sims.linear(n, d, K, signal.lshift=3)
plot_sim(sim$X, sim$Y, "Linear")

Spread

sim <- discr.sims.fat_tails(n, d, K)
plot_sim(sim$X, sim$Y, "Fat Tails")

Cross

sim <- discr.sims.cross(n, d, 2)
plot_sim(sim$X, sim$Y, "Cross")

Radial

sim <- discr.sims.radial(n, d, K)
plot_sim(sim$X, sim$Y, "Radial")

mgc documentation built on July 1, 2020, 7:09 p.m.