View source: R/stat-wl-summary.R
stat_wl_summary | R Documentation |
stat_wl_summary
computes the area under a curve.
stat_wl_summary(
mapping = NULL,
data = NULL,
geom = "text",
position = "identity",
...,
range = NULL,
integral.fun = integrate_xy,
label.fmt = "%.3g",
na.rm = FALSE,
show.legend = NA,
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 |
range |
a numeric vector of at least length two. |
integral.fun |
function on $x$ and $y$. |
label.fmt |
character string giving a format definition for converting
y-integral values into character strings by means of function |
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 |
A data frame with one row.
What it is named integral below is the result of appying integral.fun
,
with default integrate_xy
.
y formatted according to label.fmt
range-midpoint
range minimum
range maximum
data$y integral for the range by the expanse of the range
Set by the statistic and available to geoms.
..label..
..x..
..wb.xmin..
..wb.xmax..
..y..
0
..y..
..y..
Required by the statistic and need to be set with aes()
.
numeric, wavelength in nanometres
numeric, a spectral quantity
Other stats functions:
stat_color()
,
stat_find_qtys()
,
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()
# ggplot() methods for spectral objects set a default mapping for x and y.
ggplot(sun.spct) + geom_line() +
stat_wl_summary(geom = "hline")
ggplot(sun.spct) + geom_line() +
stat_wl_summary(label.fmt = "mean = %.3f", color = "red", vjust = -0.3) +
stat_wl_summary(geom = "hline", color = "red")
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