stat_find_qtys {ggspectra} | R Documentation |
Find quantity value for target wavelength value.
Description
stat_find_qtys
finds at which y positions values equal to an x target
are located.
Usage
stat_find_qtys(
mapping = NULL,
data = NULL,
geom = "point",
target = "half.maximum",
interpolate = TRUE,
chroma.type = "CMF",
label.fmt = "%.3g",
x.label.fmt = label.fmt,
y.label.fmt = label.fmt,
position = "identity",
na.rm = FALSE,
show.legend = FALSE,
inherit.aes = TRUE,
...
)
Arguments
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 |
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 |
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 |
Details
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.
Value
A data frame with one row for each match to the target subset from the data or interpolated. As spectra are monotonic in wavelength, this statistic will never return more than one row when used with spectra.
Computed variables
- x
x-value at or nearest to the match to the target as numeric
- y
target value or y-value nearest to the target as numeric
- x.label
x-value at or nearest to the match formatted as character
- y.label
target value or y-value nearest to the target formatted as character
- color
color definition calculated by assuming that x-values are wavelengths expressed in nanometres.
Default aesthetics
Set by the statistic and available to geoms.
- label
..x.label..
- xintercept
..x..
- yintercept
..y..
- fill
..color..
Required aesthetics
Required by the statistic and need to be set
with aes()
.
- x
numeric, wavelength in nanometres
- y
numeric, a spectral quantity
Note
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.
See Also
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()
Examples
# 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")