| display_dist {tourr} | R Documentation | 
1d distribution tour path animation.
Description
Animate a 1d tour path with a density plot or histogram.
Usage
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   | 
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   | 
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])
# 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$species, density_max=5)
animate_dist(flea[, 1:6], col=flea$species, density_max=5, bw=0.1)
animate_dist(flea[, 1:6], col=flea$species, scale_density=TRUE)
# When the distribution is not centred, it tends to wander around in a
# distracting manner
animate_dist(flea[, 1:6], center = FALSE)
# Alternatively, you can display the distribution with a histogram
animate_dist(flea[, 1:6], method = "hist")