geom_hilight | R Documentation |
layer of hilight clade
geom_hilight(
data = NULL,
mapping = NULL,
node = NULL,
type = "auto",
to.bottom = FALSE,
...
)
geom_highlight(
data = NULL,
mapping = NULL,
node = NULL,
type = "auto",
to.bottom = FALSE,
...
)
data |
data.frame, The data to be displayed in this layer, defaults to NULL. |
mapping |
Set of aesthetic mappings, defaults to NULL. |
node |
selected node to hilight, when data and mapping is NULL, it is required. |
type |
the type of layer, defaults to |
to.bottom |
logical, whether set the high light layer to the bottom in all layers of 'ggtree' object, default is FALSE. |
... |
additional parameters, see also the below and Aesthetics section.
|
geom_hilight
supports data.frame as input. And aesthetics of layer can be mapped.
you can see the Aesthetics section to set parameters.
a list object.
geom_hilight()
understands the following aesthetics for rectangular layer (required
aesthetics are in bold):
node
selected node to hight light, it is required.
colour
the colour of margin, defaults to NA.
fill
the colour of fill, defaults to 'steelblue'.
alpha
the transparency of fill, defaults to 0.5.
extend
extend xmax of the rectangle, defaults to 0.
extendto
specify a value, meaning the rectangle extend to, defaults to NULL.
linetype
the line type of margin, defaults to 1.
linewidth
the width of line of margin, defaults to 0.5.
geom_hilight()
understands the following aesthethics for encircle layer (required
aesthetics are in bold):
node
selected node to hight light, it is required.
colour
the colour of margin, defaults to 'black'.
fill
the colour of fill, defaults to 'steelblue'.
alpha
the transparency of fill, defaults to 0.5.
expand
expands the xspline clade region, defaults to 0.
spread
control the size, when only one point.
linewidth
the width of line of margin, defaults to 0.5.
linetype
the line type of margin, defaults to 1.
s_shape
the shape of the spline relative to the control points, defaults to 0.5.
s_open
whether the spline is a line or a closed shape, defaults to FALSE.
Guangchuang Yu and Shuangbin Xu
For more detailed demonstration, please refer to chapter 5.2.2 of Data Integration, Manipulation and Visualization of Phylogenetic Trees http://yulab-smu.top/treedata-book/index.html by Guangchuang Yu.
library(ggplot2)
set.seed(102)
tree <- rtree(60)
p <- ggtree(tree)
p1 <- p + geom_hilight(node=62) + geom_hilight(node=88, fill="red")
p1
dat <- data.frame(id=c(62, 88), type=c("A", "B"))
p2 <- p + geom_hilight(data=dat, mapping=aes(node=id, fill=type))
p2
p3 <- p + geom_hilight(data=dat, mapping=aes(node=id, fill=type), align="left")
p4 <- p + geom_hilight(data=dat, mapping=aes(node=id, fill=type), align="right")
p5 <- p + geom_hilight(data=dat, mapping=aes(node=id, fill=type), align="both")
# display the high light layer with gradiental color rectangular.
p6 <- p + geom_hilight(data=dat, mapping=aes(node=id, fill=type), type = "gradient", alpha=0.68)
p7 <- p + geom_hilight(data=dat, mapping=aes(node=id, fill=type),
type = "gradient", gradient.direction="tr", alpha=0.68)
# display the high light layer with round rectangular.
p8 <- p + geom_hilight(data=dat, mapping=aes(node=id, fill=type), type = "roundrect", alpha=0.68)
p2/ p3/ p4/ p5 / p6/ p7/ p8
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