Description Usage Arguments See Also Examples
The source for this was adapted from http://qiita.com/kohske/items/9272e29a75d32416ff5e
1 2 3 |
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. |
na.rm |
If |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
rule |
character value specifying the path fill mode: either "winding" or "evenodd", see |
... |
other arguments passed on to |
geom_polygon
for the implementation on polygonGrob
,
geom_map
for a convenient way to tie the values and coordinates together,
geom_path
for an unfilled polygon,
geom_ribbon
for a polygon anchored on the x-axis
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | # When using geom_holygon, you will typically need two data frames:
# one contains the coordinates of each polygon (positions), and the
# other the values associated with each polygon (values). An id
# variable links the two together.
# Normally this would not be created manually, but by using \code{\link{fortify}}
# to generate it from the Spatial classes in the `sp` package.
positions = data.frame(x = c(0, 0, 46, 46, 0, 7, 13, 13, 7, 7, 18, 24,
24, 18, 18, 31, 37, 37, 31, 31, 18.4, 18.4, 18.6, 18.8, 18.8,
18.6, 18.4, 31, 31, 37, 37, 31, 0, 21, 31, 37, 46, 0, 18, 18,
24, 24, 18, 18.4, 18.6, 18.8, 18.8, 18.6, 18.4, 18.4),
y = c(0, 19, 19, 0, 0, 6, 6, 13, 13, 6, 1, 1, 12, 12, 1, 4, 4, 11, 11,
4, 6.89999999999999, 7.49999999999999, 7.69999999999999, 7.49999999999999,
6.89999999999999, 6.69999999999999, 6.89999999999999, 27, 34,
34, 24, 27, 19, 32, 27, 24, 19, 19, 1, 12, 12, 1, 1, 6.89999999999999,
6.69999999999999, 6.89999999999999, 7.49999999999999, 7.69999999999999,
7.49999999999999, 6.89999999999999),
id = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L,
2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L),
group = c(1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 4L,
4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 7L,
7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L))
values <- data.frame(
id = unique(positions$id),
value = c(2, 5.4, 3)
)
# manually merge the two together
datapoly <- merge(values, positions, by = c("id"))
# the entire house
(house <- ggplot(datapoly, aes(x = x, y = y)) + geom_holygon(aes(fill = value, group = group)))
# just the front wall (and chimney), with its three parts, the first of which has three holes
wall <- ggplot(datapoly[datapoly$id == 1, ], aes(x = x, y = y))
wall + geom_holygon(aes(fill = id, group = group))
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