This function produces combined plot on group level (e.g. dataset, other metadata variable like biological conditions). Scatter plot of dimension reduction with cluster labeled is generated per group. Furthermore, a stacked barplot of cluster proportion within each group is also combined with the subplot of each group.
plotGroupClusterDimRed(
object,
useGroup = "dataset",
useCluster = NULL,
useDimRed = NULL,
combinePlot = TRUE,
droplevels = TRUE,
relHeightMainLegend = c(5, 1),
relHeightDRBar = c(10, 1),
mainNRow = NULL,
mainNCol = NULL,
legendNRow = 1,
...
)
ggplot object when only one feature (e.g. cluster variable, gene, factor) is set. List object when multiple of those are specified.
A liger object with dimension reduction, grouping
variable and cluster assignment in cellMeta(object)
.
Variable name of the group division in metadata. Default
"dataset"
.
Name of variable in cellMeta(object)
. Default
NULL
uses default cluster.
Name of the variable storing dimensionality reduction result
in cellMeta(object)
. Default NULL
use default dimRed.
Whether to return combined plot. Default TRUE
. If
FALSE
, will return a list containing only the scatter plots.
Logical, whether to perform droplevels()
on
the selected grouping variable. Default TRUE
will not show groups that
are listed as categories but do not indeed have any cells.
Relative heights of the main combination panel and
the legend at the bottom. Must be a numeric vector of 2 numbers. Default
c(5, 1)
.
Relative heights of the scatter plot and the barplot
within each subpanel. Must be a numeric vector of 2 numbers. Default
c(10, 1)
.
Arrangement of the main plotting region, for number
of rows and columns. Default NULL
will be automatically handled by
plot_grid
.
Arrangement of the legend, number of rows. Default
1
.
Additional graphic setting arguments passed to
plotDimRed
.
Please refer to plotDimRed
,
.ggScatter
, .ggplotLigerTheme
for additional
graphic setting
plotGroupClusterDimRed(pbmcPlot)
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