Description Usage Arguments Value Examples
Draws a violin plot of single cell data (gene expression, metrics, PC scores, etc.)
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object |
Seurat object |
features |
Features to plot (gene expression, metrics, PC scores, anything that can be retreived by FetchData) |
cols |
Colors to use for plotting |
pt.size |
Point size for geom_violin |
idents |
Which classes to include in the plot (default is all) |
sort |
Sort identity classes (on the x-axis) by the average expression of the attribute being potted, can also pass 'increasing' or 'decreasing' to change sort direction |
assay |
Name of assay to use, defaults to the active assay |
group.by |
Group (color) cells in different ways (for example, orig.ident) |
split.by |
A variable to split the violin plots by |
adjust |
Adjust parameter for geom_violin |
y.max |
Maximum y axis value |
same.y.lims |
Set all the y-axis limits to the same values |
log |
plot the feature axis on log scale |
ncol |
Number of columns if multiple plots are displayed |
combine |
Combine plots into a single gg object; note that if TRUE; themeing will not work when plotting multiple features |
slot |
Use non-normalized counts data for plotting |
... |
Ignored |
A ggplot object
1 | VlnPlot(object = pbmc_small, features = 'PC1')
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