geom_mk.Rd
geom_mk
geom_mk(
mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
...,
fun_slope = slope_mk,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE
)
stat_mk(
mapping = NULL,
data = NULL,
geom = "abline",
position = "identity",
fun_slope = slope_mk,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE,
...
)
stat_spike(
mapping = NULL,
data = NULL,
geom = "point",
position = "identity",
halfwin = 3,
sd.times = 3,
trs = NA,
verbose = FALSE,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE,
...
)
Set of aesthetic mappings created by aes()
.
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)
).
Position adjustment, either as a string naming the adjustment
(e.g. "jitter"
to use position_jitter
), or the result of a call to a
position adjustment function. Use the latter if you need to change the
settings of the adjustment.
Other arguments passed on to layer()
. These are
often aesthetics, used to set an aesthetic to a fixed value, like
colour = "red"
or size = 3
. They may also be parameters
to the paired geom/stat.
function to calculate slope, default rtrend::slope_mk()
If FALSE
, the default, missing values are removed with
a warning. If TRUE
, missing values are silently removed.
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()
.
Use to override the default connection between
geom_smooth()
and stat_smooth()
.
No return. This function is used to calculate data for gglot2 geom_*
,
just like ggplot2::stat_smooth()
.
No return. This function is used to calculate data for gglot2 geom_*
,
just like ggplot2::stat_smooth()
.
library(ggplot2)
library(rtrend)
ggplot(mpg, aes(displ, hwy, colour = drv)) +
geom_point() +
stat_mk(linewidth = 1, fun_slope = slope_mk) +
geom_smooth(method = "lm", se = FALSE, linetype = 2)
#> `geom_smooth()` using formula = 'y ~ x'
ggplot(mpg, aes(displ, hwy, colour = drv)) +
geom_point() +
geom_mk(linewidth = 1, fun_slope = slope_mk) +
geom_smooth(method = "lm", se = FALSE, linetype = 2)
#> `geom_smooth()` using formula = 'y ~ x'
library(ggplot2)
library(rtrend)
ggplot(mpg, aes(displ, hwy, colour = drv)) +
geom_point() +
stat_mk(linewidth = 1, fun_slope = slope_mk) +
geom_smooth(method = "lm", se = FALSE, linetype = 2)
#> `geom_smooth()` using formula = 'y ~ x'
ggplot(mpg, aes(displ, hwy, colour = drv)) +
geom_point() +
geom_mk(linewidth = 1, fun_slope = slope_mk) +
geom_smooth(method = "lm", se = FALSE, linetype = 2)
#> `geom_smooth()` using formula = 'y ~ x'