View source: R/visualization.R
RidgePlot | R Documentation |
Draws a ridge plot of single cell data (gene expression, metrics, PC scores, etc.)
RidgePlot(
object,
features,
cols = NULL,
idents = NULL,
sort = FALSE,
assay = NULL,
group.by = NULL,
y.max = NULL,
same.y.lims = FALSE,
log = FALSE,
ncol = NULL,
slot = deprecated(),
layer = "data",
stack = FALSE,
combine = TRUE,
fill.by = "feature"
)
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 |
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) |
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 |
slot |
Slot to pull expression data from (e.g. "counts" or "data") |
layer |
Layer to pull expression data from (e.g. "counts" or "data") |
stack |
Horizontally stack plots for each feature |
combine |
Combine plots into a single |
fill.by |
Color violins/ridges based on either 'feature' or 'ident' |
A patchworked
ggplot object if
combine = TRUE
; otherwise, a list of ggplot objects
data("pbmc_small")
RidgePlot(object = pbmc_small, features = 'PC_1')
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