View source: R/visualization.R
DimPlot | R Documentation |
Graphs the output of a dimensional reduction technique on a 2D scatter plot where each point is a cell and it's positioned based on the cell embeddings determined by the reduction technique. By default, cells are colored by their identity class (can be changed with the group.by parameter).
DimPlot(
object,
dims = c(1, 2),
cells = NULL,
cols = NULL,
pt.size = NULL,
reduction = NULL,
group.by = NULL,
split.by = NULL,
shape.by = NULL,
order = NULL,
shuffle = FALSE,
seed = 1,
label = FALSE,
label.size = 4,
label.color = "black",
label.box = FALSE,
repel = FALSE,
alpha = 1,
cells.highlight = NULL,
cols.highlight = "#DE2D26",
sizes.highlight = 1,
na.value = "grey50",
ncol = NULL,
combine = TRUE,
raster = NULL,
raster.dpi = c(512, 512)
)
PCAPlot(object, ...)
TSNEPlot(object, ...)
UMAPPlot(object, ...)
object |
Seurat object |
dims |
Dimensions to plot, must be a two-length numeric vector specifying x- and y-dimensions |
cells |
Vector of cells to plot (default is all cells) |
cols |
Vector of colors, each color corresponds to an identity class. This may also be a single character
or numeric value corresponding to a palette as specified by |
pt.size |
Adjust point size for plotting |
reduction |
Which dimensionality reduction to use. If not specified, first searches for umap, then tsne, then pca |
group.by |
Name of one or more metadata columns to group (color) cells by (for example, orig.ident); pass 'ident' to group by identity class |
split.by |
A factor in object metadata to split the plot by, pass 'ident' to split by cell identity' |
shape.by |
If NULL, all points are circles (default). You can specify any
cell attribute (that can be pulled with FetchData) allowing for both
different colors and different shapes on cells. Only applicable if |
order |
Specify the order of plotting for the idents. This can be useful for crowded plots if points of interest are being buried. Provide either a full list of valid idents or a subset to be plotted last (on top) |
shuffle |
Whether to randomly shuffle the order of points. This can be useful for crowded plots if points of interest are being buried. (default is FALSE) |
seed |
Sets the seed if randomly shuffling the order of points. |
label |
Whether to label the clusters |
label.size |
Sets size of labels |
label.color |
Sets the color of the label text |
label.box |
Whether to put a box around the label text (geom_text vs geom_label) |
repel |
Repel labels |
alpha |
Alpha value for plotting (default is 1) |
cells.highlight |
A list of character or numeric vectors of cells to
highlight. If only one group of cells desired, can simply
pass a vector instead of a list. If set, colors selected cells to the color(s)
in |
cols.highlight |
A vector of colors to highlight the cells as; will repeat to the length groups in cells.highlight |
sizes.highlight |
Size of highlighted cells; will repeat to the length
groups in cells.highlight. If |
na.value |
Color value for NA points when using custom scale |
ncol |
Number of columns for display when combining plots |
combine |
Combine plots into a single |
raster |
Convert points to raster format, default is |
raster.dpi |
Pixel resolution for rasterized plots, passed to geom_scattermore(). Default is c(512, 512). |
... |
Extra parameters passed to |
A patchworked
ggplot object if
combine = TRUE
; otherwise, a list of ggplot objects
For the old do.hover
and do.identify
functionality, please see
HoverLocator
and CellSelector
, respectively.
FeaturePlot
HoverLocator
CellSelector
FetchData
data("pbmc_small")
DimPlot(object = pbmc_small)
DimPlot(object = pbmc_small, split.by = 'letter.idents')
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