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.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.
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 geom/stat.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. borders.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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