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

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

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

## ----cube3--------------------------------------------------------------------
# # 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--------------------------------------------------------------------
# cube5 <- geozoo::cube.iterate(5)
# animate_xy(cube5$points, edges = cube5$edges, axes = "off")

## -----------------------------------------------------------------------------
# # get centroids of 3 clusters of the flea data
# n <- nrow(flea)
# set.seed(1019)
# flea_centroids <- stats::kmeans(flea[,1:6], 3)$centers
# flea_aug <- rbind(flea[,1:6], 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)