plotDensityDimRed: Create density plot basing on specified coordinates

Description

This function shows the cell density presented in a 2D dimensionality reduction coordinates. Density is shown with coloring and contour lines. A scatter plot of the dimensionality reduction is added as well. The density plot can be splitted by categorical variables (e.g. "dataset"), while the scatter plot will always be shown for all cells in subplots as a reference of the global structure.

Usage

plotDensityDimRed(
  object,
  useDimRed = NULL,
  splitBy = NULL,
  combinePlot = TRUE,
  minDensity = 8,
  contour = TRUE,
  contourLineWidth = 0.3,
  contourBins = 5,
  dot = TRUE,
  dotColor = "grey",
  dotSize = 0.6,
  dotAlpha = 0.3,
  dotRaster = NULL,
  title = NULL,
  legendFillTitle = "Density",
  colorPalette = "magma",
  colorDirection = -1,
  ...
)

Value

A ggplot object when only one plot is generated, A ggplot object combined with plot_grid when multiple plots and combinePlot = TRUE. A list of ggplot when multiple plots and combinePlot = FALSE.

Arguments

object

A liger object

useDimRed

Name of the variable storing dimensionality reduction result in the cellMeta slot. Default uses default dimension reduction.

splitBy

Character vector of categorical variable names in cellMeta slot. Split all cells by groupings on this/these variable(s) to produce a density plot containing only the cells in each group. Default NULL.

combinePlot

Logical, whether to utilize plot_grid to combine multiple plots into one. Default TRUE returns combined ggplot. FALSE returns a list of ggplot or a single ggplot when only one plot is requested.

minDensity

A positive number to filter out low density region colored on plot. Default 8. Setting zero will show density on the whole panel.

contour

Logical, whether to draw the contour line. Default TRUE.

contourLineWidth

Numeric, the width of the contour line. Default 0.3.

contourBins

Number of contour bins. Higher value generates more contour lines. Default 5.

dot

Logical, whether to add scatter plot of all cells, even when density plot is splitted with splitBy. Default TRUE.

dotColor, dotSize, dotAlpha

Numeric, controls the appearance of all dots. Default "grey", 0.6 and 0.3, respectively.

dotRaster

Logical, whether to rasterize the scatter plot. Default NULL automatically rasterizes the dots when number of total cells to be plotted exceeds 100,000.

title

Text of main title of the plots. Default NULL. Length of character vector input should match with number of plots generated.

legendFillTitle

Text of legend title. Default "Density".

colorPalette

Name of the option for scale_fill_viridis_c. Default "magma".

colorDirection

Color gradient direction for scale_fill_viridis_c. Default -1.

...

Arguments passed on to .ggplotLigerTheme

title,subtitle,xlab,ylab: Main title, subtitle or X/Y axis title text. By default, no main title or subtitle will be set, and X/Y axis title will be the names of variables used for plotting. Use NULL to hide elements. TRUE for xlab or ylab shows default values.

showLegend

Whether to show the legend. Default TRUE.

legendPosition

Text indicating where to place the legend. Choose from "top", "bottom", "left" or "right". Default "right".

baseSize

One-parameter control of all text sizes. Individual text element sizes can be controlled by other size arguments. "Title" sizes are 2 points larger than "text" sizes when being controlled by this.

titleSize,xTitleSize,yTitleSize,legendTitleSize

Size of main title, axis titles and legend title. Default NULL controls by baseSize + 2.

subtitleSize,xTextSize,yTextSize,legendTextSize

Size of subtitle text, axis texts and legend text. Default NULL controls by baseSize.

panelBorder

Whether to show rectangle border of the panel instead of using ggplot classic bottom and left axis lines. Default FALSE.

plotly

Whether to use plotly to enable web based interactive browsing for the plot. Requires installation of package "plotly". Default FALSE.

Examples

Run this code

# Example dataset has small number of cells, thus cutoff adjusted.
plotDensityDimRed(pbmcPlot, minDensity = 1)

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