Run length encoding takes a vector of values and calculates the
lengths of consecutive repeated values.
mapping = NULL,
data = NULL,
geom = "rect",
position = "identity",
align = "none",
na.rm = FALSE,
orientation = "x",
show.legend = NA,
inherit.aes = TRUE
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.
The data to be displayed in this layer. There are three
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.
function will be called with a single argument,
the plot data. The return value must be a
will be used as the layer data. A
function can be created
~ head(.x, 10)).
Use to override the default connection between
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
colour = "red" or
size = 3. They may also be parameters
to the paired geom/stat.
character of length one that effect the computed
end variables. One of the following:
Take exact start and end
Return start and end
x values in between an
end and the subsequent start.
Align start values with previous end values.
Align end values with next start values.
FALSE, the default, missing values are removed with
a warning. If
TRUE, missing values are silently removed.
The orientation of the layer. The default (
automatically determines the orientation from the aesthetic mapping. In the
rare event that this fails it can be given explicitly by setting
"y". See the Orientation section for more detail.
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
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.
The data is first ordered on the
x aesthetic before run
lengths are calculated for the
stat_rle() understands the following
aesthetics (required aesthetics are in bold)
x values at the start of every run.
x values at the end of every run.
The index where a run starts.
The index where a run ends.
The index of a run.
The length of a run.
The value associated with a run.
df <- data.frame(
x = seq(0
, length.out = 100)
y = sin(seq(0
, length.out = 100)*2)
# Label every run of increasing values
, label = diff(c(0
, y)) > 0)
align = "end") +
# Label every run above some threshold
stat_rle(aes(x, label = y > 0),
align = "center") +
# Categorising runs, more complicated usage
, after_stat = run_id)
label = cut(y
fill = after_stat(runvalue))
geom = "col")