Create Plot with meta data variable of interest highlighted
Meta_Highlight_Plot(
seurat_object,
meta_data_column,
meta_data_highlight,
highlight_color = NULL,
background_color = "lightgray",
pt.size = NULL,
aspect_ratio = NULL,
figure_plot = FALSE,
raster = NULL,
raster.dpi = c(512, 512),
label = FALSE,
split.by = NULL,
split_seurat = FALSE,
ggplot_default_colors = FALSE,
...
)
Seurat object name.
Name of the column in seurat_object@meta.data
slot to pull value from for highlighting.
Name of variable(s) within meta_data_name
to highlight in the plot.
Color to highlight cells (default "navy").
non-highlighted cell colors.
point size for both highlighted cluster and background.
Control the aspect ratio (y:x axes ratio length). Must be numeric value; Default is NULL.
logical. Whether to remove the axes and plot with legend on left of plot denoting
axes labels. (Default is FALSE). Requires split_seurat = TRUE
.
Convert points to raster format. Default is NULL which will rasterize by default if greater than 200,000 cells.
Pixel resolution for rasterized plots, passed to geom_scattermore(). Default is c(512, 512).
Whether to label the highlighted meta data variable(s). Default is FALSE.
Variable in @meta.data
to split the plot by.
logical. Whether or not to display split plots like Seurat (shared y axis) or as individual plots in layout. Default is FALSE.
logical. If colors_use = NULL
, Whether or not to return plot using
default ggplot2 "hue" palette instead of default "polychrome" or "varibow" palettes.
Extra parameters passed toDimPlot
.
A ggplot object