geom_rule() renders segments through or orthogonally
translated from the origin.
geom_rule(
mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
axis_labels = TRUE,
axis_ticks = TRUE,
axis_text = TRUE,
by = NULL,
num = NULL,
snap_rule = TRUE,
tick_length = 0.025,
text_dodge = 0.03,
label_dodge = 0.03,
...,
axis.colour = NULL,
axis.color = NULL,
axis.alpha = NULL,
label.angle = 0,
label.colour = NULL,
label.color = NULL,
label.alpha = NULL,
tick.linewidth = 0.25,
tick.colour = NULL,
tick.color = NULL,
tick.alpha = NULL,
text.size = 2.6,
text.angle = 0,
text.hjust = 0.5,
text.vjust = 0.5,
text.family = NULL,
text.fontface = NULL,
text.colour = NULL,
text.color = NULL,
text.alpha = NULL,
parse = FALSE,
check_overlap = FALSE,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE
)A ggproto
Set of aesthetic mappings created by aes(). If specified and
inherit.aes = TRUE (the default), it is combined with the default mapping
at the top level of the plot. You must supply mapping if there is no plot
mapping.
The data to be displayed in this layer. There are three options:
If NULL, the default, the data is inherited from the plot
data as specified in the call to ggplot().
A data.frame, or other object, will override the plot
data. All objects will be fortified to produce a data frame. See
fortify() for which variables will be created.
A function will be called with a single argument,
the plot data. The return value must be a data.frame, and
will be used as the layer data. A function can be created
from a formula (e.g. ~ head(.x, 10)).
The statistical transformation to use on the data for this layer.
When using a geom_*() function to construct a layer, the stat
argument can be used the override the default coupling between geoms and
stats. The stat argument accepts the following:
A Stat ggproto subclass, for example StatCount.
A string naming the stat. To give the stat as a string, strip the
function name of the stat_ prefix. For example, to use stat_count(),
give the stat as "count".
For more information and other ways to specify the stat, see the layer stat documentation.
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 position argument accepts the following:
The result of calling a position function, such as position_jitter().
This method allows for passing extra arguments to the position.
A string naming the position adjustment. To give the position as a
string, strip the function name of the position_ prefix. For example,
to use position_jitter(), give the position as "jitter".
For more information and other ways to specify the position, see the layer position documentation.
Logical; whether to include labels, tick marks, and text value marks along the axes.
Intervals between elements or number of elements; specify only one.
Logical; whether to snap rule segments to grid values.
Numeric; the length of the tick marks, as a proportion of the minimum of the plot width and height.
Numeric; the orthogonal distance of tick mark text from the axis, as a proportion of the minimum of the plot width and height.
Numeric; the orthogonal distance of the axis label from the axis, as a proportion of the minimum of the plot width and height.
Additional arguments passed to ggplot2::layer().
Default aesthetics for axes. Set to NULL to inherit from the data's aesthetics.
Default aesthetics for labels. Set to NULL to inherit from the data's aesthetics.
Default aesthetics for tick marks. Set to NULL to inherit from the data's aesthetics.
Default aesthetics for tick mark labels. Set to NULL to inherit from the data's aesthetics.
If TRUE, the labels will be parsed into expressions and
displayed as described in ?plotmath.
If TRUE, text that overlaps previous text in the
same layer will not be plotted. check_overlap happens at draw time and in
the order of the data. Therefore data should be arranged by the label
column before calling geom_text(). Note that this argument is not
supported by geom_label().
Passed to ggplot2::layer().
logical. Should this layer be included in the legends?
NA, the default, includes if any aesthetics are mapped.
FALSE never includes, and TRUE always includes.
It can also be a named logical vector to finely select the aesthetics to
display.
If FALSE, overrides the default aesthetics,
rather than combining with them. This is most useful for helper functions
that define both data and aesthetics and shouldn't inherit behaviour from
the default plot specification, e.g. borders().
geom_rule() understands the following aesthetics (required aesthetics are
in bold):
x
y
lower
upper
yintercept or xintercept or xend and yend
linetype
linewidth
size
hjust
vjust
colour
alpha
label
family
fontface
center, scale
group
As implemented here, a rule is just an axis that has a
fixed range, usually the limits of the data. geom_rule() defaults to
stat = "identity" to avoid the problem of
failing to pass referent data to the referential stat_rule(). Therefore,
the user must provide the lower and upper aesthetics, which are used as
euclidean lengths in the plotting window. Meanwhile, stat_rule() defaults
to geom = "rule"; see stat_rule() for details on this pairing.
Other geom layers:
geom_axis(),
geom_bagplot(),
geom_isoline(),
geom_lineranges(),
geom_text_radiate(),
geom_vector()
USJudgeRatings %>%
subset(select = -c(1, 12)) %>%
dist(method = "maximum") %>%
cmdscale() %>%
as.data.frame() %>%
setNames(c("PCo1", "PCo2")) %>%
transform(name = rownames(USJudgeRatings)) ->
judge_mds
USJudgeRatings %>%
subset(select = c(CONT, RTEN)) %>%
setNames(c("contacts", "recommendation")) ->
judge_meta
lm(as.matrix(judge_meta) ~ as.matrix(judge_mds[, seq(2)])) %>%
getElement("coefficients") %>%
unname() %>% t() %>% as.data.frame() %>%
setNames(c("Intercept", "PCo1", "PCo2")) %>%
transform(variable = names(judge_meta)) ->
judge_lm
ggplot(judge_mds, aes(x = PCo1, y = PCo2)) +
coord_equal() +
theme_void() +
geom_text(aes(label = name), size = 3) +
stat_rule(
data = judge_lm, referent = judge_mds,
aes(center = Intercept, label = variable)
)
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