plot3logit (version 3.1.4)

stat_field3logit: Add a field to a gg3logit plot

Description

stat_field3logit() adds a field to a gg3logit plot.

Usage

stat_field3logit(
  mapping = aes(),
  data = NULL,
  geom = "segment",
  position = "identity",
  show.legend = NA,
  inherit.aes = TRUE,
  arrow. = arrow(length = unit(0.2, "cm")),
  ...
)

Value

Layer of ggplot2 package, object of class LayerInstance.

Arguments

mapping

list of aesthetic mappings to be used for plot. Mandatory aesthetics should not be specified if field3loglit or multifield3logit object is passed to data. See secion Aesthetic mappings of gg3logit() for details.

data

a field3logit object, a multifield3logit object, or a data.frame structured like a fortified field3logit or a multifield3logit object.

geom

The geometric object to use to display the data, either as a ggproto Geom subclass or as a string naming the geom stripped of the geom_ prefix (e.g. "point" rather than "geom_point")

position

Position adjustment, either as a string naming the adjustment (e.g. "jitter" to use position_jitter), or the result of a call to a position adjustment function. Use the latter if you need to change the settings of the adjustment.

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. It can also be a named logical vector to finely select the aesthetics to display.

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().

arrow.

specification for arrow heads, as created by function arrow of package grid.

...

additional arguments passed through to ggtern.

See Also

Other gg functions: autoplot.Hfield3logit(), gg3logit(), stat_3logit(), stat_conf3logit()

Examples

# \donttest{
data(cross_1year)

mod0 <- nnet::multinom(employment_sit ~ gender + finalgrade, data = cross_1year)
field0 <- field3logit(mod0, 'genderFemale', conf = 0.95)

gg3logit(field0) + stat_field3logit()
gg3logit(field0) + stat_field3logit() + stat_conf3logit()
# }