Usage
stat_fit_glance(mapping = NULL, data = NULL, geom = "null",
method = "lm", method.args = list(formula = y ~ x),
label.x.npc = "left", label.y.npc = "top", label.x = NULL,
label.y = NULL, position = "identity", na.rm = FALSE,
show.legend = FALSE, inherit.aes = TRUE, ...)
Arguments
mapping
The aesthetic mapping, usually constructed with
aes or aes_string. Only needs
to be set at the layer level if you are overriding the plot defa data
A layer specific dataset - only needed if you want to override
the plot defaults.
geom
The geometric object to use display the data
method.args
list of arguments to pass to method.
label.x.npc, label.y.npc
numeric with range 0..1 or character.
Coordinates to be used for positioning the output, expresed in "normalized
parent coordinates" or character string. If too short they will be recycled.
label.x, label.y
numeric Coordinates (in data units) to be used
for absolute positioning of the output. If too short they will be recycled.
position
The position adjustment to use for overlapping points on this
layer
na.rm
a logical indicating whether NA values should be stripped
before the computation proceeds.
show.legend
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.
inherit.aes
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.
...
other arguments passed on to layer. This
can include aesthetics whose values you want to set, not map. See
layer for more details.