Produce single scatter plot with data frame passed from upstream
.ggScatter(
plotDF,
x,
y,
colorBy = NULL,
shapeBy = NULL,
dotOrder = c("shuffle", "ascending", "descending"),
dotSize = getOption("ligerDotSize"),
dotAlpha = 0.9,
trimHigh = NULL,
trimLow = NULL,
zeroAsNA = TRUE,
raster = NULL,
labelBy = colorBy,
labelText = TRUE,
labelTextSize = 4,
seed = 1,
...
)
ggplot object by default. When plotly = TRUE
, returns
plotly (htmlwidget) object.
Data frame like object (fortifiable) that contains all necessary information to make the plot.
Available variable name in cellMeta
slot to look for
the dot coordinates. See details.
See plotDimRed
.
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.
Numeric, controls the size or transparency of all
dots. Default getOption("ligerDotSize")
(1) and 0.9
.
Numeric, limit the largest or smallest value of
continuous colorBy
variable. Default NULL
.
Logical, whether to set zero values in continuous
colorBy
variable to NA
so the color of these value.
Logical, whether to rasterize the plot. Default NULL
automatically rasterize the plot when number of total cells to be plotted
exceeds 100,000.
A variable name available in plotDF
. If the variable is
categorical (a factor), the label position will be the median coordinates of
all dots within the same group. Unique labeling in character vector for each
dot is also acceptable. Default colorBy
.
Logical, whether to show text label at the median position
of each categorical group specified by colorBy
. Default TRUE
.
Does not work when continuous coloring is specified.
Numeric, controls the size of label size when
labelText = TRUE
. Default 4
.
Random seed for reproducibility. Default 1
.
More theme setting arguments passed to
.ggplotLigerTheme
.
Having package "ggrepel" installed can help adding tidier text labels on the scatter plot.