edges.R
In tourr: Tour Methods for Multivariate Data Visualisation

## ---- include = FALSE---------------------------------------------------------
knitr::opts_chunk$set(
  collapse = TRUE,
  eval = TRUE,
  comment = "#>",
  rmarkdown.html_vignette.check_title = FALSE
)

## ----setup--------------------------------------------------------------------
library(tourr)

## -----------------------------------------------------------------------------
# generate 3D cube vertices
cube <- geozoo::cube.iterate(3)
# data is stored points, edges contains the needed two column matrix for connecting points
cube$points
cube$edges
# call grand tour with the scatterplot (xy) display, turning off axes
animate_xy(cube$points, edges = cube$edges, axes = "off")

## -----------------------------------------------------------------------------
cube5 <- geozoo::cube.iterate(5)
animate_xy(cube5$points, edges = cube5$edges, axes = "off")

## -----------------------------------------------------------------------------
# get centroids of 3 clusters of the flea data
f <- apply(flea[,1:6], 2, function(x) (x-mean(x))/sd(x))
n <- nrow(f)
set.seed(1019)
flea_centroids <- stats::kmeans((f), 3)$centers
flea_aug <- rbind(f, flea_centroids)
col <- c(rep("black", n), rep("orange", 3))
flea_edges <- matrix(c(n+1, n+2, n+1, n+3, n+2, n+3), ncol=2, byrow = TRUE)
animate_xy(flea_aug, edges = flea_edges, 
           col = col, edges.col = "orange", 
           edges.width = 3)