stat_chull | R Documentation |
Restrict planar data to the boundary points of its convex hull, or of nested convex hulls containing specified fractions of points.
stat_chull(
mapping = NULL,
data = NULL,
geom = "polygon",
position = "identity",
show.legend = NA,
inherit.aes = TRUE,
...
)
stat_peel(
mapping = NULL,
data = NULL,
geom = "polygon",
position = "identity",
breaks = c(0.5),
cut = c("above", "below"),
show.legend = NA,
inherit.aes = TRUE,
...
)
mapping |
Set of aesthetic mappings created by |
data |
The data to be displayed in this layer. There are three options: If A A |
geom |
The geometric object to use to display the data for this layer.
When using a
|
position |
A position adjustment to use on the data for this layer. This
can be used in various ways, including to prevent overplotting and
improving the display. The
|
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
... |
Additional arguments passed to |
breaks |
A numeric vector of fractions (between |
cut |
Character; one of |
As used in a ggplot2 vignette,
stat_chull()
restricts a dataset with x
and y
variables to the points
that lie on its convex hull.
Building on this, stat_peel()
returns hulls from a convex hull peeling:
a subset of sequentially removed hulls containing specified fractions of
the data.
A ggproto layer.
ggbiplot()
uses ggplot2::fortify()
internally to produce a single data
frame with a .matrix
column distinguishing the subjects ("rows"
) and
variables ("cols"
). The stat layers stat_rows()
and stat_cols()
simply
filter the data frame to one of these two.
The geom layers geom_rows_*()
and geom_cols_*()
call the corresponding
stat in order to render plot elements for the corresponding factor matrix.
geom_dims_*()
selects a default matrix based on common practice, e.g.
points for rows and arrows for columns.
This statistical transformation is compatible with the convenience function
ord_aes()
.
Some transformations (e.g. stat_center()
) commute with projection to the
lower (1 or 2)-dimensional biplot space. If they detect aesthetics of the
form ..coord[0-9]+
, then ..coord1
and ..coord2
are converted to x
and
y
while any remaining are ignored.
Other transformations (e.g. stat_spantree()
) yield different results in a
lower-dimensional biplot when they are computed before versus after
projection. If the stat layer detects these aesthetics, then the
transformation is performed before projection, and the results in the first
two dimensions are returned as x
and y
.
A small number of transformations (stat_rule()
) are incompatible with
ordination aesthetics but will accept ord_aes()
without warning.
These are calculated during the statistical transformation and can be accessed with delayed evaluation.
hull
the position of breaks
that defines each hull
frac
the value of breaks
that defines each hull
prop
the actual proportion of data within each hull
Barnett V (1976) "The Ordering of Multivariate Data". Journal of the Royal Statistical Society: Series A (General), 139(3): 318–344. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2307/2344839")}
Other stat layers:
stat_bagplot()
,
stat_center()
,
stat_cone()
,
stat_depth()
,
stat_projection()
,
stat_rule()
,
stat_scale()
,
stat_spantree()
ggplot(USJudgeRatings, aes(x = INTG, y = PREP)) +
geom_point() +
stat_chull(alpha = .5)
ggplot(USJudgeRatings, aes(x = INTG, y = PREP)) +
stat_peel(
aes(alpha = after_stat(hull)),
breaks = seq(.1, .9, .2), color = "black"
)
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