A geom for adding worms to probability intervals from geom_flquantiles

geom_worm(
  data,
  mapping = aes(colour = iter),
  ...,
  stat = "identity",
  position = "identity",
  na.rm = FALSE
)

Arguments

data: Subset of data, select from full object using iter().
mapping: 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 mapping if there is no plot mapping.
...: 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.
stat: The statistical transformation to use on the data for this layer, either as a ggproto Geom subclass or as a string naming the stat stripped of the stat_ prefix (e.g. "count" rather than "stat_count")
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.
na.rm: If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed.

Aesthetics

`geom_worm` understands the following aesthetics (required aesthetics are in bold): - `colour` - `linetype` - `linewidth`

Examples

data(ple4)
x <- rlnorm(200, log(catch(ple4)), 0.3)
plot(x) + geom_worm(data=iter(x, 1:4))


x <- FLQuants(C=rlnorm(200, log(catch(ple4)), 0.3),
  F=rlnorm(200, fbar(ple4), 0.2))
plot(x) + geom_worm(data=iter(x, 1:4))