Path Density Plot

Creates a 2d kernel density estimate of the t-T paths and plots it using ggplot

Usage

plot_path_density_filled(
  x,
  bins = 50L,
  densify = TRUE,
  show.legend = NA,
  geom = "density_2d_filled",
  n = 100L,
  ...
)

plot_path_density(
  x,
  bins = 50L,
  densify = TRUE,
  show.legend = NA,
  n = 100L,
  ...
)

plot_path_density_filled_weighted(
  x,
  bins = 50L,
  densify = TRUE,
  show.legend = NA,
  n = 100L,
  weights = NULL,
  ...
)

Arguments

x

either an object of class "HeFTy" (output of read_hefty()), a data.frame containing the time, temperature columns of the modeled paths, or output of densify_paths().

bins

integer. Amount of bins used for the kernel density estimate. 50 by default.

densify

logical. Whether the paths in x should be densified first? Default is TRUE.

show.legend

logical. Should this layer be included in the legends? NA, the default, includes if any aesthetics are mapped. FALSE never includes, and TRUE always includes. It can also be a named logical vector to finely select the aesthetics to display.

geom

Use to override the default connection between ggplot2::geom_density_2d() and ggplot2::stat_density_2d(). For more information at overriding these connections, see how the stat and geom arguments work.

n

integer. Number of grid points in each direction.

...

Arguments passed on to densify_paths() (only if densify=TRUE).

weights

numeric vector. Weights for each path segment.

Value

ggplot

See also

gof_weighting() for rescaling goodness-of-fit values to weights.

Examples

data(tT_paths)
plot_path_density(tT_paths)

plot_path_density_filled(tT_paths)

plot_path_density_filled(tT_paths, geom = "raster")

plot_path_density_filled_weighted(tT_paths, weights = gof_weighting(tT_paths$paths$Comp_GOF))