geom_smooth_tern
and stat_smooth_tern
are effectively aliases: they
both use the same arguments. Use geom_smooth_tern
unless you want to
display the results with a non-standard geom.geom_smooth_tern(mapping = NULL, data = NULL, position = "identity", ...,
method = "auto", formula = y ~ x, se = TRUE, na.rm = FALSE,
show.legend = NA, inherit.aes = TRUE, expand = c(0.5, 0.5))stat_smooth_tern(mapping = NULL, data = NULL, position = "identity", ...,
method = "auto", formula = y ~ x, se = TRUE, n = 80, span = 0.75,
fullrange = FALSE, level = 0.95, method.args = list(), na.rm = FALSE,
show.legend = NA, inherit.aes = TRUE, expand = c(0.5, 0.5))
If NULL
, the default, the data is inherited from the plot
data as specified in the call to ggplot
.
A data.fra
layer
. These are
often aesthetics, used to set an aesthetic to a fixed value, like
color = "red"
or size = 3
. They may also be parameters
to the paired gloess
. For datasets
with 1000 or more observations defaults to gam, see
y ~ x
,
y ~ poly(x, 2)
, y ~ log(x)
FALSE
(the default), removes missing values with
a warning. If TRUE
silently removes missing values.NA
, the default, includes if any aesthetics are mapped.
FALSE
never includes, and TRUE
always includes.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.
method
.data(Feldspar)
ggtern(data=Feldspar,aes(Ab,An,Or,group=Feldspar)) +
geom_smooth_tern(method=lm,fullrange=TRUE,colour='red') +
geom_point() +
labs(title="Example Smoothing")
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