Skip to contents

Set the cell plot theme

cell_theme.Rd

Sets the backend-neutral appearance shared by cell plot renderers. The contract contains background_color, strip_background_color, text_color, and text_size. Backends translate these values to their own theme systems. Backend-specific theme objects are not stored here.

Usage

cell_theme(
  object,
  background_color,
  text_color,
  text_size,
  strip_background_color
)

Arguments

object

A cell_plot recipe.

background_color

Background color. Defaults to white.

text_color

Text color. Defaults to black.

text_size

Positive text size. Defaults to 11.

strip_background_color

Facet strip background color. Defaults to the ggplot2-like gray "#D9D9D9".

Value

A modified cell_plot recipe.

See also

Other cell-plot-modifiers: cell_annotation(), cell_grid(), cell_illuminate(), cell_node_depth(), cell_node_scale_alpha(), cell_node_scale_color(), cell_node_scale_size()

Examples

se <- ReadPNA_Seurat(minimal_pna_pxl_file())
#> ✔ Created a <Seurat> object with 5 cells and 158 targeted surface proteins
se <- LoadCellGraphs(se, cells = colnames(se)[4], verbose = FALSE) |>
  ComputeLayout(layout_method = "spectral")
#> ℹ Computing layouts for 1 graphs

cell_graph <- CellGraphs(se)[[4]]

layout_data <- FetchLayoutData(cell_graph, vars = "CD82", layout_method = "spectral_3d") |>
  # Downsample to speed up tests
  dplyr::slice_sample(n = 5000)

cell_plot(layout_data) |>
  cell_theme(
    background_color = "navy",
    strip_background_color = "grey30",
    text_color = "white",
    text_size = 12
  )