| stat_label_peaks {ggspectra} | R Documentation |
stat_labels_peaks finds at which x positions local maxima are located,
and adds labels and colors to the data wihtout subsetiing.
To find local minima, you can use stat_labels_valleys instead.
stat_label_peaks(mapping = NULL, data = NULL, geom = "text", span = 5, ignore_threshold = 0, strict = FALSE, label.fmt = "%.3g", x.label.fmt = label.fmt, y.label.fmt = label.fmt, position = "identity", na.rm = TRUE, show.legend = FALSE, inherit.aes = TRUE, ...) stat_label_valleys(mapping = NULL, data = NULL, geom = "text", span = 5, ignore_threshold = 0, strict = FALSE, label.fmt = "%.3g", x.label.fmt = label.fmt, y.label.fmt = label.fmt, position = "identity", na.rm = TRUE, show.legend = FALSE, inherit.aes = TRUE, ...)
mapping |
The aesthetic mapping, usually constructed with
|
data |
A layer specific dataset - only needed if you want to override the plot defaults. |
geom |
The geometric object to use display the data |
span |
a peak is defined as an element in a sequence which is greater than all other elements within a window of width span centered at that element. The default value is 5, meaning that a peak is bigger than two consequtive neighbors on each side. Default: 5. |
ignore_threshold |
numeric value between 0.0 and 1.0 indicating the size threshold below which peaks will be ignored. |
strict |
logical flag: if TRUE, an element must be strictly greater than all other values in its window to be considered a peak. Default: FALSE. |
label.fmt |
character string giving a format definition for converting
values into character strings by means of function |
x.label.fmt |
character string giving a format definition for converting
$x$-values into character strings by means of function |
y.label.fmt |
character string giving a format definition for converting
$y$-values into character strings by means of function |
position |
The position adjustment to use for overlapping points on this layer |
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?
|
inherit.aes |
If |
... |
other arguments passed on to |
These stats use geom_text by default as it is the geom most
likely to work well in almost any situation without need of tweaking.
These statistics work best with geom_text_repel and
geom_label_repel from package 'ggrepel' as they are designed so
that peak or valley labels will not overlapT any observation in the
whole data set. Default aesthetics set by these stats allow their 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.
The original data with additional computed variables added.
x-value at a peak (or valley) formatted as character or an
empty string ("") otherwise
y-value at the peak (or valley) formatted as character or an
empty string ("") otherwise
At peaks and valleys, color definition calculated by assuming that x-values are wavelengths expressed in nanometres, otherwise, "white".
Set by the statistic and available to geoms.
..x.label..
..x..
..y..
ifelse(..color.. == "white", "black", ..color..)
..color..
Required by the statistic and need to be set with aes().
numeric, wavelength in nanometres
numeric, a spectral quantity
These stats work 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.
stat_peaks, stat_valleys and
find_peaks, which is used internally.
Other stats functions: stat_color,
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
library(photobiology)
library(ggplot2)
# ggplot() methods for spectral objects set a default mapping for x and y.
ggplot(sun.spct) + geom_line() +
stat_label_peaks(hjust = "left", span = 31, angle = 90, color = "red")
ggplot(sun.spct) + geom_line() +
stat_label_valleys(hjust = "right", span = 21, angle = 90, color = "blue")
# using 'ggrepel' to avoid overlaps
# too slow for CRAN checks
## Not run:
library(ggrepel)
ggplot(sun.spct) + geom_line() +
stat_peaks(span = 41, shape = 21, size = 3) +
stat_label_peaks(span = 41, geom = "label_repel", segment.colour = "red",
nudge_y = 0.12, label.fmt = "%3.0f nm") +
scale_fill_identity() +
scale_color_identity() +
expand_limits(y = c(NA, 1))
## End(Not run)