do_NebulosaPlot: Wrapper for Nebulosa::plot_density in Seurat.

In SCpubr: Generate Publication Ready Visualizations of Single Cell Transcriptomics Data

Wrapper for Nebulosa::plot_density in Seurat.

Description

Wrapper for Nebulosa::plot_density in Seurat.

Usage

do_NebulosaPlot(
  sample,
  features,
  slot = NULL,
  dims = c(1, 2),
  pt.size = 1,
  reduction = NULL,
  combine = TRUE,
  method = c("ks", "wkde"),
  joint = FALSE,
  return_only_joint = FALSE,
  plot.title = NULL,
  plot.subtitle = NULL,
  plot.caption = NULL,
  legend.type = "colorbar",
  legend.framewidth = 0.5,
  legend.tickwidth = 0.5,
  legend.length = 20,
  legend.width = 1,
  legend.framecolor = "grey50",
  legend.tickcolor = "white",
  font.size = 14,
  font.type = "sans",
  legend.position = "bottom",
  plot_cell_borders = TRUE,
  border.size = 2,
  border.color = "black",
  viridis.palette = "G",
  viridis.direction = 1,
  verbose = TRUE,
  na.value = "grey75",
  plot.axes = FALSE,
  number.breaks = 5,
  use_viridis = FALSE,
  sequential.palette = "YlGnBu",
  sequential.direction = 1,
  plot.title.face = "bold",
  plot.subtitle.face = "plain",
  plot.caption.face = "italic",
  axis.title.face = "bold",
  axis.text.face = "plain",
  legend.title.face = "bold",
  legend.text.face = "plain"
)

Arguments

sample	Seurat | A Seurat object, generated by CreateSeuratObject.
features	character | Features to represent.
slot	character | Data slot to use. Only one of: counts, data, scale.data. Defaults to "data".
dims	numeric | Vector of 2 numerics indicating the dimensions to plot out of the selected reduction. Defaults to c(1, 2) if not specified.
pt.size	numeric | Size of the dots.
reduction	character | Reduction to use. Can be the canonical ones such as "umap", "pca", or any custom ones, such as "diffusion". If you are unsure about which reductions you have, use Seurat::Reductions(sample). Defaults to "umap" if present or to the last computed reduction if the argument is not provided.
combine	logical | Whether to create a single plot out of multiple features.
method	Kernel density estimation method: ks: Computes density using the kde function from the ks package. wkde: Computes density using a modified version of the kde2d function from the MASS package to allow weights. Bandwidth selection from the ks package is used instead.
joint	logical | Whether to plot different features as joint density.
return_only_joint	logical | Whether to only return the joint density panel.
plot.title, plot.subtitle, plot.caption	character | Title, subtitle or caption to use in the plot.
legend.type	character | Type of legend to display. One of: normal: Default legend displayed by ggplot2. colorbar: Redefined colorbar legend, using guide_colorbar.
legend.framewidth, legend.tickwidth	numeric | Width of the lines of the box in the legend.
legend.length, legend.width	numeric | Length and width of the legend. Will adjust automatically depending on legend side.
legend.framecolor	character | Color of the lines of the box in the legend.
legend.tickcolor	character | Color of the ticks of the box in the legend.
font.size	numeric | Overall font size of the plot. All plot elements will have a size relationship with this font size.
font.type	character | Base font family for the plot. One of: mono: Mono spaced font. serif: Serif font family. sans: Default font family.
legend.position	character | Position of the legend in the plot. One of: top: Top of the figure. bottom: Bottom of the figure. left: Left of the figure. right: Right of the figure. none: No legend is displayed.
plot_cell_borders	logical | Whether to plot border around cells.
border.size	numeric | Width of the border of the cells.
border.color	character | Color for the border of the heatmap body.
viridis.palette	character | A capital letter from A to H or the scale name as in scale_fill_viridis.
viridis.direction	numeric | Either 1 or -1. Controls how the gradient of viridis scale is formed.
verbose	logical | Whether to show extra comments, warnings,etc.
na.value	character | Color value for NA.
plot.axes	logical | Whether to plot axes or not.
number.breaks	numeric | Controls the number of breaks in continuous color scales of ggplot2-based plots.
use_viridis	logical | Whether to use viridis color scales.
sequential.palette	character | Type of sequential color palette to use. Out of the sequential palettes defined in brewer.pal.
sequential.direction	numeric | Direction of the sequential color scale. Either 1 or -1.
plot.title.face, plot.subtitle.face, plot.caption.face, axis.title.face, axis.text.face, legend.title.face, legend.text.face	character | Controls the style of the font for the corresponding theme element. One of: plain: For normal text. italic: For text in itallic. bold: For text in bold. bold.italic: For text both in itallic and bold.

Value

A ggplot2 object containing a Nebulosa plot.

Examples

  # Check Suggests.
  value <- SCpubr:::check_suggests(function_name = "do_NebulosaPlot", passive = TRUE)

  if (isTRUE(value)){
    # Consult the full documentation in https://enblacar.github.io/SCpubr-book/

    # Define your Seurat object.
    sample <- readRDS(system.file("extdata/seurat_dataset_example.rds", package = "SCpubr"))

    # Basic Nebulosa plot.
    p <- SCpubr::do_NebulosaPlot(sample = sample,
                                 features = "EPC1")

    # Compute joint density.
    p <- SCpubr::do_NebulosaPlot(sample = sample,
                                 features = c("EPC1", "TOX2"),
                                 joint = TRUE)

  } else if (base::isFALSE(value)){
    message("This function can not be used without its suggested packages.")
    message("Check out which ones are needed using `SCpubr::state_dependencies()`.")
  }

SCpubr documentation built on Oct. 11, 2023, 5:15 p.m.