View source: R/stat-find-wls.R
stat_find_qtys | R Documentation |
stat_find_qtys
finds at which y positions values equal to an x target
are located. Axis flipping is currently not supported.
stat_find_qtys(
mapping = NULL,
data = NULL,
geom = "point",
position = "identity",
...,
target = "half.maximum",
interpolate = TRUE,
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
)
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 |
position |
The position adjustment to use for overlapping points on this layer |
... |
other arguments passed on to |
target |
numeric value indicating the spectral quantity value for which wavelengths are to be searched and interpolated if need. The character string "half.maximum" is also accepted as argument. |
interpolate |
logical Indicating whether the nearest wavelength value
in |
chroma.type |
character one of "CMF" (color matching function) or "CC"
(color coordinates) or a |
label.fmt , x.label.fmt , y.label.fmt |
character strings giving a format
definition for construction of character strings labels with function
|
x.label.transform , y.label.transform , x.colour.transform |
function Applied
to |
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 |
These stats use 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 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.
A data frame with one row for each match to the target subset from
the data or linearly interpolated between the two nearest values available.
As spectra are monotonic in wavelength, this statistic will never return
more than one row in data
per target value.
x-value at or nearest to the match to the target as numeric
target value or y-value nearest to the target as numeric
x-value at or nearest to the match formatted as character
target value or y-value nearest to the target formatted as character
color definition calculated by assuming that x-values are wavelengths expressed in nanometres.
Set by the statistic and available to geoms.
..x.label..
..x..
..y..
..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.
find_peaks
.
Other stats functions:
stat_color()
,
stat_find_wls()
,
stat_label_peaks()
,
stat_peaks()
,
stat_spikes()
,
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()
# ggplot() methods for spectral objects set a default mapping for x and y.
ggplot(yellow_gel.spct) +
geom_line() +
stat_find_qtys(target = "half.range")
ggplot(yellow_gel.spct) +
geom_line() +
stat_find_qtys(target = c(490, 500, 510))
ggplot(yellow_gel.spct) +
geom_line() +
stat_find_qtys(target = 500, geom = "point", colour = "red") +
stat_find_qtys(target = 500, geom = "text", colour = "red",
hjust = 1.1, label.fmt = "Tfr = %1.2f")
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