Animate a 1d tour path with a density plot or histogram.

display_dist(
  method = "density",
  center = TRUE,
  half_range = NULL,
  col = "black",
  rug = FALSE,
  palette = "Zissou 1",
  density_max = 3,
  bw = 0.2,
  scale_density = FALSE,
  ...
)

animate_dist(data, tour_path = grand_tour(1), ...)

Arguments

method

display method, histogram or density plot

center

should 1d projection be centered to have mean zero (default: TRUE). This pins the centre of distribution to the same place, and makes it easier to focus on the shape of the distribution.

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".

rug

draw rug plot showing position of actual data points?

palette

name of color palette for point colour, used by hcl.colors, default "Zissou 1"

density_max

allow control of the y range for density plot

bw

binwidth for histogram and density, between 0-1, default 0.2

scale_density

Height of density is scaled at each projection, default FALSE

...

other arguments passed on to animate

data

matrix, or data frame containing numeric columns

tour_path

tour path generator, defaults to 2d grand tour

See also

animate for options that apply to all animations

Examples

animate_dist(flea[, 1:6])
#> Converting input data to the required matrix format.
#> Using half_range 66



# Change inputs, to color by group, fix y axis, change bin width
# and scale bar height or density at each projection
animate_dist(flea[, 1:6], col=flea$species, density_max=5)
#> Converting input data to the required matrix format.
#> Using half_range 66


animate_dist(flea[, 1:6], col=flea$species, density_max=5, bw=0.1)
#> Converting input data to the required matrix format.
#> Using half_range 66


animate_dist(flea[, 1:6], col=flea$species, scale_density=TRUE)
#> Converting input data to the required matrix format.
#> Using half_range 66



# When the distribution is not centred, it tends to wander around in a
# distracting manner
animate_dist(flea[, 1:6], center = FALSE)
#> Converting input data to the required matrix format.
#> Using half_range 323



# Alternatively, you can display the distribution with a histogram
animate_dist(flea[, 1:6], method = "hist")
#> Converting input data to the required matrix format.
#> Using half_range 66