Visualize cells according to spatial AND dimension reduction coordinates 2D

spatDimPlot2D(
  gobject,
  show_image = F,
  gimage = NULL,
  image_name = "image",
  plot_alignment = c("vertical", "horizontal"),
  dim_reduction_to_use = "umap",
  dim_reduction_name = "umap",
  dim1_to_use = 1,
  dim2_to_use = 2,
  sdimx = "sdimx",
  sdimy = "sdimy",
  spat_enr_names = NULL,
  cell_color = NULL,
  color_as_factor = T,
  cell_color_code = NULL,
  cell_color_gradient = c("blue", "white", "red"),
  gradient_midpoint = NULL,
  gradient_limits = NULL,
  select_cell_groups = NULL,
  select_cells = NULL,
  dim_point_shape = c("border", "no_border"),
  dim_point_size = 1,
  dim_point_alpha = 1,
  dim_point_border_col = "black",
  dim_point_border_stroke = 0.1,
  spat_point_shape = c("border", "no_border", "voronoi"),
  spat_point_size = 1,
  spat_point_alpha = 1,
  spat_point_border_col = "black",
  spat_point_border_stroke = 0.1,
  dim_show_cluster_center = F,
  dim_show_center_label = T,
  dim_center_point_size = 4,
  dim_center_point_border_col = "black",
  dim_center_point_border_stroke = 0.1,
  dim_label_size = 4,
  dim_label_fontface = "bold",
  spat_show_cluster_center = F,
  spat_show_center_label = F,
  spat_center_point_size = 4,
  spat_center_point_border_col = "blue",
  spat_center_point_border_stroke = 0.1,
  spat_label_size = 4,
  spat_label_fontface = "bold",
  show_NN_network = F,
  nn_network_to_use = "sNN",
  network_name = "sNN.pca",
  nn_network_alpha = 0.05,
  show_spatial_network = F,
  spat_network_name = "Delaunay_network",
  spat_network_color = "blue",
  spat_network_alpha = 0.5,
  show_spatial_grid = F,
  spat_grid_name = "spatial_grid",
  spat_grid_color = "blue",
  show_other_cells = T,
  other_cell_color = "lightgrey",
  dim_other_point_size = 1,
  spat_other_point_size = 1,
  spat_other_cells_alpha = 0.5,
  dim_show_legend = F,
  spat_show_legend = F,
  legend_text = 8,
  legend_symbol_size = 1,
  dim_background_color = "white",
  spat_background_color = "white",
  vor_border_color = "white",
  vor_max_radius = 200,
  vor_alpha = 1,
  axis_text = 8,
  axis_title = 8,
  show_plot = NA,
  return_plot = NA,
  save_plot = NA,
  save_param = list(),
  default_save_name = "spatDimPlot2D"
)

Arguments

gobject

giotto object

show_image

show a tissue background image

gimage

a giotto image

image_name

name of a giotto image

plot_alignment

direction to align plot

dim_reduction_to_use

dimension reduction to use

dim_reduction_name

dimension reduction name

dim1_to_use

dimension to use on x-axis

dim2_to_use

dimension to use on y-axis

sdimx

= spatial dimension to use on x-axis

sdimy

= spatial dimension to use on y-axis

spat_enr_names

names of spatial enrichment results to include

cell_color

color for cells (see details)

color_as_factor

convert color column to factor

cell_color_code

named vector with colors

cell_color_gradient

vector with 3 colors for numeric data

gradient_midpoint

midpoint for color gradient

gradient_limits

vector with lower and upper limits

select_cell_groups

select subset of cells/clusters based on cell_color parameter

select_cells

select subset of cells based on cell IDs

dim_point_shape

point with border or not (border or no_border)

dim_point_size

size of points in dim. reduction space

dim_point_alpha

transparancy of point in dim. reduction space

dim_point_border_col

border color of points in dim. reduction space

dim_point_border_stroke

border stroke of points in dim. reduction space

spat_point_shape

shape of points (border, no_border or voronoi)

spat_point_size

size of spatial points

spat_point_alpha

transparancy of spatial points

spat_point_border_col

border color of spatial points

spat_point_border_stroke

border stroke of spatial points

dim_show_cluster_center

show the center of each cluster

dim_show_center_label

provide a label for each cluster

dim_center_point_size

size of the center point

dim_center_point_border_col

border color of center point

dim_center_point_border_stroke

stroke size of center point

dim_label_size

size of the center label

dim_label_fontface

font of the center label

spat_show_cluster_center

show the center of each cluster

spat_show_center_label

provide a label for each cluster

spat_center_point_size

size of the center point

spat_center_point_border_col

border color of spatial center points

spat_center_point_border_stroke

border strike size of spatial center points

spat_label_size

size of the center label

spat_label_fontface

font of the center label

show_NN_network

show underlying NN network

nn_network_to_use

type of NN network to use (kNN vs sNN)

network_name

name of NN network to use, if show_NN_network = TRUE

nn_network_alpha

column to use for alpha of the edges

show_spatial_network

show spatial network

spat_network_name

name of spatial network to use

spat_network_color

color of spatial network

spat_network_alpha

alpha of spatial network

show_spatial_grid

show spatial grid

spat_grid_name

name of spatial grid to use

spat_grid_color

color of spatial grid

show_other_cells

display not selected cells

other_cell_color

color of not selected cells

dim_other_point_size

size of not selected dim cells

spat_other_point_size

size of not selected spat cells

spat_other_cells_alpha

alpha of not selected spat cells

dim_show_legend

show legend of dimension reduction plot

spat_show_legend

show legend of spatial plot

legend_text

size of legend text

legend_symbol_size

size of legend symbols

dim_background_color

background color of points in dim. reduction space

spat_background_color

background color of spatial points

vor_border_color

border colorr for voronoi plot

vor_max_radius

maximum radius for voronoi 'cells'

vor_alpha

transparancy of voronoi 'cells'

axis_text

size of axis text

axis_title

size of axis title

show_plot

show plot

return_plot

return ggplot object

save_plot

directly save the plot [boolean]

save_param

list of saving parameters, see showSaveParameters

default_save_name

default save name for saving, don't change, change save_name in save_param

Value

ggplot

Details

Description of parameters.

See also

spatDimPlot3D

Other spatial and dimension reduction visualizations: spatDimPlot3D(), spatDimPlot()

Examples


data(mini_giotto_single_cell)

spatDimPlot2D(mini_giotto_single_cell)
spatDimPlot2D(mini_giotto_single_cell, cell_color = 'cell_types',
             spat_point_size = 3, dim_point_size = 3)