Simple visualization of spatial coordinates. See example code for how to have information preset in the object. Arguments to the liger object method are passed down to ligerDataset method.
Usage
plotSpatial2D(object, ...)
# S3 method for liger
plotSpatial2D(object, dataset, useCluster = NULL, legendColorTitle = NULL, ...)
# S3 method for ligerSpatialDataset
plotSpatial2D(
object,
useCluster = NULL,
legendColorTitle = NULL,
useDims = c(1, 2),
xlab = NULL,
ylab = NULL,
labelText = FALSE,
panelBorder = TRUE,
...
)
Arguments
- object
Either a liger object containing a spatial dataset or a ligerSpatialDataset object.
- ...
Arguments passed on to
.ggScatter
,.ggplotLigerTheme
dotOrder
Controls the order that each dot is added to the plot. Choose from
"shuffle"
,"ascending"
, or"descending"
. Default"shuffle"
, useful when coloring by categories that overlaps (e.g. "dataset"),"ascending"
can be useful when coloring by a continuous variable (e.g. gene expression) where high values needs more highlight.NULL
use default order.dotSize,dotAlpha
Numeric, controls the size or transparency of all dots. Default
getOption("ligerDotSize")
(1) and0.9
.raster
Logical, whether to rasterize the plot. Default
NULL
automatically rasterize the plot when number of total dots to be plotted exceeds 100,000.labelTextSize
Numeric, controls the size of label size when
labelText = TRUE
. Default4
.seed
Random seed for reproducibility. Default
1
.showLegend
Whether to show the legend. Default
TRUE
.legendPosition
Text indicating where to place the legend. Choose from
"top"
,"bottom"
,"left"
or"right"
. Default"right"
.baseSize
One-parameter control of all text sizes. Individual text element sizes can be controlled by other size arguments. "Title" sizes are 2 points larger than "text" sizes when being controlled by this.
titleSize,xTitleSize,yTitleSize,legendTitleSize
Size of main title, axis titles and legend title. Default
NULL
controls bybaseSize + 2
.subtitleSize,xTextSize,yTextSize,legendTextSize
Size of subtitle text, axis texts and legend text. Default
NULL
controls bybaseSize
.legendDotSize
Allow dots in legend region to be large enough to see the colors/shapes clearly. Default
4
.colorLabels
Character vector for modifying category names in a color legend. Passed to
ggplot2::scale_color_manual(labels)
. DefaultNULL
uses original levels of the factor.colorValues
Character vector of colors for modifying category colors in a color legend. Passed to
ggplot2::scale_color_manual(values)
. DefaultNULL
uses internal selected palette when <= 26 categories are presented, otherwise ggplot hues.legendNRow,legendNCol
Integer, when too many categories in one variable, arranges number of rows or columns. Default
NULL
, automatically split toceiling(levels(variable)/10)
columns.naColor
The color code for
NA
values. Default"#DEDEDE"
.scale_colour_gradient2
. DefaultNULL
.
- dataset
Name of one spatial dataset.
- useCluster
Either the name of one variable in
cellMeta(object)
or a factor object with annotation that matches with all cells in the specified dataset. DefaultNULL
uses default clusters.- legendColorTitle
Alternative title text in the legend. Default
NULL
uses the variable name set byuseCluster
, or"Annotation"
isuseCluster
is a customized factor object.- useDims
Numeric vector of two, choosing the coordinates to be drawn on 2D space. (STARmap data could have 3 dimensions.) Default
c(1, 2)
.- xlab, ylab
Text label on x-/y-axis. Default
NULL
does not show it.- labelText
Logical, whether to label annotation onto the scatter plot. Default
FALSE
.- panelBorder
Whether to show rectangle border of the panel instead of using ggplot classic bottom and left axis lines. Default
TRUE
.
Examples
ctrl.fake.spatial <- as.ligerDataset(dataset(pbmc, "ctrl"), modal = "spatial")
fake.coords <- matrix(rnorm(2 * ncol(ctrl.fake.spatial)), ncol = 2)
coordinate(ctrl.fake.spatial) <- fake.coords
#> ! No rownames with given spatial coordinate. Assuming they match with the cells.
#> ! No colnames with given spatial coordinate. Setting to "x" and "y"
dataset(pbmc, "ctrl") <- ctrl.fake.spatial
#> ℹ Updated QC variables: "nUMI" and "nGene"
defaultCluster(pbmc) <- pbmcPlot$leiden_cluster
#> ℹ Storing given cluster labels to `cellMeta(x)` field: "defaultCluster".
plotSpatial2D(pbmc, dataset = "ctrl")