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" )
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 |
default_save_name | default save name for saving, don't change, change save_name in save_param |
ggplot
Description of parameters.
Other spatial and dimension reduction visualizations:
spatDimPlot3D()
,
spatDimPlot()
spatDimPlot2D(mini_giotto_single_cell, cell_color = 'cell_types', spat_point_size = 3, dim_point_size = 3)