stat_spikes
finds at which x
positions spikes are located.
Spikes can be either upwards or downwards from the baseline.
Axis flipping is currently not supported.
Usage
stat_spikes(
mapping = NULL,
data = NULL,
geom = "point",
position = "identity",
...,
z.threshold = 9,
max.spike.width = 8,
chroma.type = "CMF",
label.fmt = "%.3g",
x.label.fmt = label.fmt,
y.label.fmt = label.fmt,
x.label.transform = I,
y.label.transform = I,
x.colour.transform = x.label.transform,
na.rm = FALSE,
show.legend = FALSE,
inherit.aes = TRUE
)
Arguments
- mapping
The aesthetic mapping, usually constructed with
aes
oraes_
. Only needs to be set at the layer level if you are overriding the plot defaults.- data
A layer specific dataset - only needed if you want to override the plot defaults.
- geom
The geometric object to use display the data
- position
The position adjustment to use for overlapping points on this layer
- ...
other arguments passed on to
layer
. This can include aesthetics whose values you want to set, not map. Seelayer
for more details.- z.threshold
numeric Modified Z values larger than
z.threshold
are considered to be spikes.- max.spike.width
integer Wider regions with high Z values are not detected as spikes.
- chroma.type
character one of "CMF" (color matching function) or "CC" (color coordinates) or a
chroma_spct
object.- label.fmt, x.label.fmt, y.label.fmt
character strings giving a format definition for construction of character strings labels with function
sprintf
fromx
and/ory
values.- x.label.transform, y.label.transform, x.colour.transform
function Applied to
x
ory
values when constructing the character labels or computing matching colours.- na.rm
a logical value indicating whether NA values should be stripped before the computation proceeds.
- show.legend
logical. Should this layer be included in the legends?
NA
, the default, includes if any aesthetics are mapped.FALSE
never includes, andTRUE
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
.
Details
This stat uses geom_point
by default as it is the geom most
likely to work well in almost any situation without need of tweaking. The
default aesthetics set by this stat allows its direct use with
geom_text
, geom_label
, geom_line
, geom_rug
,
geom_hline
and geom_vline
. The formatting of the labels
returned can be controlled by the user.
Note
This stat works nicely together with geoms
geom_text_repel
and
geom_label_repel
from package
ggrepel
to solve the problem of overlapping labels
by displacing them. To discard overlapping labels use check_overlap =
TRUE
as argument to geom_text
.
By default the labels are character values suitable to be plotted as is, but
with a suitable label.fmt
labels suitable for parsing by the geoms
(e.g. into expressions containing greek letters or super or subscripts) can
be also easily obtained.
Computed variables
- x
x-value at the peak (or valley) as numeric
- y
y-value at the peak (or valley) as numeric
- x.label
x-value at the peak (or valley) formatted as character
- y.label
y-value at the peak (or valley) formatted as character
- wl.color
color definition calculated by assuming that x-values are wavelengths expressed in nanometres.
- BW.color
color definition that either "black" or "white", to ensure high contrast to
wl.color
.
Default aesthetics
Set by the statistic and available to geoms.
- label
stat(x.label)
- xintercept
stat(x)
- yintercept
stat(y)
- fill
stat(wl.color)
Required aesthetics
Required by the statistic and need to be set with aes()
.
- x
numeric, wavelength in nanometres
- y
numeric, a spectral quantity
See also
find_spikes
, which is used internally,
for a description of the algorithm used.
Other stats functions:
stat_color()
,
stat_find_qtys()
,
stat_find_wls()
,
stat_label_peaks()
,
stat_peaks()
,
stat_wb_box()
,
stat_wb_column()
,
stat_wb_contribution()
,
stat_wb_hbar()
,
stat_wb_irrad()
,
stat_wb_label()
,
stat_wb_mean()
,
stat_wb_relative()
,
stat_wb_sirrad()
,
stat_wb_total()
,
stat_wl_strip()
,
stat_wl_summary()
Examples
# ggplot() methods for spectral objects set a default mapping for x and y.
# two spurious(?) spikes
ggplot(sun.spct) +
geom_line() +
stat_spikes(colour = "red", alpha = 0.3)
# no spikes detected
ggplot(sun.spct) +
geom_line() +
stat_spikes(colour = "red", alpha = 0.3,
max.spike.width = 3,
z.threshold = 12)
# small noise spikes detected
ggplot(white_led.raw_spct) +
geom_line() +
stat_spikes(colour = "red", alpha = 0.3)
ggplot(white_led.raw_spct) +
geom_line() +
stat_spikes(colour = "red", alpha = 0.3) +
stat_spikes(geom = "text", colour = "red", check_overlap = TRUE,
vjust = -0.5, label.fmt = "%3.0f nm")
ggplot(white_led.raw_spct, aes(w.length, counts_2)) +
geom_line() +
stat_spikes(colour = "red", alpha = 0.3,
max.spike.width = 3,
z.threshold = 12)