Create a trimesh plot

Usage

geom_trimesh(
  mapping = NULL,
  data = NULL,
  stat = "trimesh",
  position = "identity",
  show.legend = NA,
  na.rm = FALSE,
  inherit.aes = TRUE,
  ...
)

Arguments

mapping: Aesthetic mappings for the plot.
data: The data to be plotted.
stat: The statistical transformation to be applied.
position: The position adjustment to be applied.
show.legend: Whether to show the legend for this layer.
na.rm: Whether to remove missing values.
inherit.aes: Whether to inherit aesthetics from the plot or the layer.
...: Additional arguments to be passed to the `layer` function.

Value

A `ggplot2` layer object.

Examples

r2 <- diff(range(s_curve_noise_umap$UMAP2))/diff(range(s_curve_noise_umap$UMAP1))
num_bins_x <- 4
hb_obj <- hex_binning(data = s_curve_noise_umap_scaled, bin1 = num_bins_x,
r2 = r2)
all_centroids_df <- hb_obj$centroids
counts_df <- hb_obj$std_cts
df_bin_centroids <- extract_hexbin_centroids(centroids_df = all_centroids_df,
counts_df = counts_df) |>
dplyr::filter(drop_empty == FALSE)
ggplot2::ggplot() +
geom_trimesh(data = df_bin_centroids, mapping = ggplot2::aes(x = c_x, y = c_y))