This is a censoring geom that shows the left or right censoring specified in the nlmixr input data-set or fit
stat_cens( mapping = NULL, data = NULL, position = "identity", show.legend = NA, inherit.aes = TRUE, width = 0.01, ... ) geom_cens( mapping = NULL, data = NULL, position = "identity", show.legend = NA, inherit.aes = TRUE, width = 0.01, ... )
Set of aesthetic mappings created by
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
mappingif there is no plot mapping.
The data to be displayed in this layer. There are three options:
NULL, the default, the data is inherited from the plot data as specified in the call to
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.
functionwill 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. A
functioncan be created from a
~ head(.x, 10)).
Position adjustment, either as a string naming the adjustment (e.g.
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.
logical. Should this layer be included in the legends?
NA, the default, includes if any aesthetics are mapped.
FALSEnever includes, and
TRUEalways includes. It can also be a named logical vector to finely select the aesthetics to display.
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.
represents the width (in \ censoring box
Other arguments passed on to
layer(). These are often aesthetics, used to set an aesthetic to a fixed value, like
colour = "red"or
size = 3. They may also be parameters to the paired geom/stat.
Requires the following aesthetics:
xRepresents the independent variable, often the time scale
yrepresents the dependent variable
CENSfor the censoring information; (
0no censoring or
LIMITwhich represents the corresponding limit ()
Will add boxes representing the areas of the fit that were censored.