Description Usage Arguments Details See Also Examples
The label
parameter can be either a 2-letter state abbreviation
or a full state name. geom_stateface()
will take care of the
translation to StateFace font glyph characters.
1 2 3 4 |
mapping |
Set of aesthetic mappings created by |
data |
The data to be displayed in this layer. There are three options: If A A |
stat |
The statistical transformation to use on the data for this layer, as a string. |
position |
Position adjustment, either as a string, or the result of a call to a position adjustment function. |
... |
other arguments passed on to |
parse |
If TRUE, the labels will be parsed into expressions and displayed as described in ?plotmath |
nudge_x, nudge_y |
Horizontal and vertical adjustment to nudge l abels by. Useful for offsetting text from points, particularly on discrete scales. |
check_overlap |
If |
na.rm |
If |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
The package will also take care of loading the StateFace font for PDF and other devices, but to use it with the on-screen ggplot2 device, you'll need to install the font on your system.
ggalt
ships with a copy of the StateFace TTF font. You can
run show_stateface()
to get the filesystem location and then
load the font manually from there.
A sample of the output from geom_stateface()
:
Other StateFace operations: load_stateface
,
show_stateface
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | ## Not run:
library(ggplot2)
library(ggalt)
# Run show_stateface() to see the location of the TTF StateFace font
# You need to install it for it to work
set.seed(1492)
dat <- data.frame(state=state.abb,
x=sample(100, 50),
y=sample(100, 50),
col=sample(c("#b2182b", "#2166ac"), 50, replace=TRUE),
sz=sample(6:15, 50, replace=TRUE),
stringsAsFactors=FALSE)
gg <- ggplot(dat, aes(x=x, y=y))
gg <- gg + geom_stateface(aes(label=state, color=col, size=sz))
gg <- gg + scale_color_identity()
gg <- gg + scale_size_identity()
gg
## End(Not run)
|
Loading required package: ggplot2
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