display_xy: Display tour path with a scatterplot

In tourr: Tour Methods for Multivariate Data Visualisation

Display tour path with a scatterplot

Description

Animate a 2D tour path with a scatterplot.

Usage

display_xy(
  center = TRUE,
  axes = "center",
  half_range = NULL,
  col = "black",
  pch = 20,
  cex = 1,
  edges = NULL,
  edges.col = "black",
  edges.width = 1,
  obs_labels = NULL,
  ellipse = NULL,
  ellc = NULL,
  ellmu = NULL,
  palette = "Zissou 1",
  shapeset = c(15:17, 23:25),
  ...
)

animate_xy(data, tour_path = grand_tour(), ...)

Arguments

center	if TRUE, centers projected data to (0,0). This pins the center of data cloud and make it easier to focus on the changing shape rather than position.
axes	position of the axes: center, bottomleft or off
half_range	half range to use when calculating limits of projected. If not set, defaults to maximum distance from origin to each row of data.
col	color to use for points, can be a vector or hexcolors or a factor. Defaults to "black".
pch	shape of the point to be plotted, can be a factor or integer. Defaults to 20.
cex	size of the point to be plotted. Defaults to 1.
edges	A two column integer matrix giving indices of ends of lines.
edges.col	colour of edges to be plotted, Defaults to "black"
edges.width	line width for edges, default 1
obs_labels	vector of text labels to display
ellipse	pxp variance-covariance matrix defining ellipse, default NULL. Useful for comparing data with some null hypothesis
ellc	This can be considered the equivalent of a critical value, used to scale the ellipse larger or smaller to capture more or fewer anomalies. Default 3.
ellmu	This is the centre of the ellipse corresponding to the mean of the normal population. Default vector of 0's
palette	name of color palette for point colour, used by hcl.colors, default "Zissou 1"
shapeset	numbers corresponding to shapes in base R points, to use for mapping categorical variable to shapes, default=c(15:17, 23:25)
...	other arguments passed on to animate and display_xy
data	matrix, or data frame containing numeric columns
tour_path	tour path generator, defaults to 2d grand tour

Examples

animate_xy(flea[, 1:6])
animate(flea[, 1:6], tour_path = grand_tour(), display = display_xy())
animate(flea[, 1:6],
  tour_path = grand_tour(),
  display = display_xy(),
  scale = TRUE
)
animate(flea[, 1:6],
  tour_path = grand_tour(),
  display = display_xy(half_range = 0.5)
)
animate_xy(flea[, 1:6], tour_path = little_tour())
animate_xy(flea[, 1:3], tour_path = guided_tour(holes()), sphere = TRUE)
animate_xy(flea[, 1:6], center = FALSE)

# The default axes are centered, like a biplot, but there are other options
animate_xy(flea[, 1:6], axes = "bottomleft")
animate_xy(flea[, 1:6], axes = "off")
animate_xy(flea[, 1:6], dependence_tour(c(1, 2, 1, 2, 1, 2)),
  axes = "bottomleft"
)

animate_xy(flea[, -7], col = flea$species)
animate_xy(flea[, -7], col = flea$species,
             pch = flea$species)

animate_xy(flea[, -7], col = flea$species,
  obs_labels=as.character(1:nrow(flea)), axes="off")

# You can also draw lines
edges <- matrix(c(1:5, 2:6), ncol = 2)
animate(
  flea[, 1:6], grand_tour(),
  display_xy(axes = "bottomleft", edges = edges)
)
# An ellipse can be drawn on the data using a specified var-cov
animate_xy(flea[, 1:6], axes = "off", ellipse=cov(flea[,1:6]))

tourr documentation built on May 29, 2024, 11:22 a.m.