stat_fit_tidy fits a model and returns a "tidy" version
of the model's summary, using package 'broom'.
stat_fit_tidy(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, ...)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 defaults.
A layer specific dataset - only needed if you want to override the plot defaults.
The geometric object to use display the data
character.
list of arguments to pass to method.
numeric with range 0..1 or character.
Coordinates to be used for positioning the output, expressed in "normalized
parent coordinates" or character string. If too short they will be recycled.
numeric Coordinates (in data units) to be used
for absolute positioning of the output. If too short they will be recycled.
The position adjustment to use for overlapping points on this layer
a logical indicating whether NA values should be stripped before the computation proceeds.
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.
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.
The output of tidy is
returned after reshaping it into a single row. Grouping is respected, and
the model fit separatately to each group of data. The returned data
object has one row for each group within a panel.