View source: R/visualization.R
CellScatter | R Documentation |
Creates a plot of scatter plot of features across two single cells. Pearson correlation between the two cells is displayed above the plot.
CellScatter(
object,
cell1,
cell2,
features = NULL,
highlight = NULL,
cols = NULL,
pt.size = 1,
smooth = FALSE,
raster = NULL,
raster.dpi = c(512, 512)
)
object |
Seurat object |
cell1 |
Cell 1 name |
cell2 |
Cell 2 name |
features |
Features to plot (default, all features) |
highlight |
Features to highlight |
cols |
Colors to use for identity class plotting. |
pt.size |
Size of the points on the plot |
smooth |
Smooth the graph (similar to smoothScatter) |
raster |
Convert points to raster format, default is |
raster.dpi |
Pixel resolution for rasterized plots, passed to geom_scattermore(). Default is c(512, 512). |
A ggplot object
data("pbmc_small")
CellScatter(object = pbmc_small, cell1 = 'ATAGGAGAAACAGA', cell2 = 'CATCAGGATGCACA')
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