Iterate_Cluster_Highlight_Plot {scCustomize} | R Documentation |
Iterate Cluster Highlight Plot
Description
Iterate the create plots with cluster of interest highlighted across all cluster (active.idents) in given Seurat Object
Usage
Iterate_Cluster_Highlight_Plot(
seurat_object,
highlight_color = "dodgerblue",
background_color = "lightgray",
pt.size = NULL,
reduction = NULL,
file_path = NULL,
file_name = NULL,
file_type = NULL,
single_pdf = FALSE,
dpi = 600,
raster = NULL,
...
)
Arguments
seurat_object |
Seurat object name. |
highlight_color |
Color to highlight cells (default "navy"). Can provide either single color to use for all clusters/plots or a vector of colors equal to the number of clusters to use (in order) for the clusters/plots. |
background_color |
non-highlighted cell colors. |
pt.size |
point size for both highlighted cluster and background. |
reduction |
Dimensionality Reduction to use (if NULL then defaults to Object default). |
file_path |
directory file path and/or file name prefix. Defaults to current wd. |
file_name |
name suffix to append after sample name. |
file_type |
File type to save output as. Must be one of following: ".pdf", ".png", ".tiff", ".jpeg", or ".svg". |
single_pdf |
saves all plots to single PDF file (default = FALSE). 'file_type“ must be .pdf |
dpi |
dpi for image saving. |
raster |
Convert points to raster format. Default is NULL which will rasterize by default if greater than 200,000 cells. |
... |
Extra parameters passed to |
Value
Saved plots
Examples
## Not run:
Iterate_Cluster_Highlight_Plot(seurat_object = object, highlight_color = "navy",
background_color = "lightgray", file_path = "path/", file_name = "name", file_type = "pdf",
single_pdf = TRUE)
## End(Not run)