ggtern (version 2.2.0)

geom_smooth_tern: Add a Smoothed Conditional Mean.

Description

Aids the eye in seeing patterns in the presence of overplotting. 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.

Usage

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))

Arguments

mapping

Set of aesthetic mappings created by aes or aes_. If specified and inherit.aes = TRUE (the default), it is combined with the default mapping at the top level of the plot. You must supply mapping if there is no plot mapping.

data

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.

position

Position adjustment, either as a string, or the result of a call to a position adjustment function.

...

other arguments passed on to 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.

method

smoothing method (function) to use, eg. "lm", "glm", "gam", "loess", "rlm".

For method = "auto" the smoothing method is chosen based on the size of the largest group (across all panels). loess is used for than 1,000 observations; otherwise gam is used with formula = y ~ s(x, bs = "cs"). Somewhat anecdotally, loess gives a better appearance, but is O(n^2) in memory, so does not work for larger datasets.

formula

formula to use in smoothing function, eg. y ~ x, y ~ poly(x, 2), y ~ log(x)

se

display confidence interval around smooth? (TRUE by default, see level to control

na.rm

If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed.

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. borders.

expand

expand the range of values by this much (vector of length 2) when fullrange is set to TRUE

n

number of points to evaluate smoother at

span

Controls the amount of smoothing for the default loess smoother. Smaller numbers produce wigglier lines, larger numbers produce smoother lines.

fullrange

should the fit span the full range of the plot, or just the data

level

level of confidence interval to use (0.95 by default)

method.args

List of additional arguments passed on to the modelling function defined by method.

Examples

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")