Method to compute the "parallel" sum of values across members of a collection of spectra or of a spectral object containing multiple spectra in long form.
Usage
s_sum(x, na.rm, ...)
# Default S3 method
s_sum(x, na.rm = FALSE, ...)
# S3 method for class 'generic_spct'
s_sum(x, na.rm = FALSE, ...)
# S3 method for class 'filter_mspct'
s_sum(x, na.rm = FALSE, ...)
# S3 method for class 'source_mspct'
s_sum(x, na.rm = FALSE, ...)
# S3 method for class 'response_mspct'
s_sum(x, na.rm = FALSE, ...)
# S3 method for class 'reflector_mspct'
s_sum(x, na.rm = FALSE, ...)
# S3 method for class 'calibration_mspct'
s_sum(x, na.rm = FALSE, ...)
# S3 method for class 'cps_mspct'
s_sum(x, na.rm = FALSE, ...)
# S3 method for class 'raw_mspct'
s_sum(x, na.rm = FALSE, ...)
Value
If x
is a collection spectral of objects, such as a
"filter_mspct"
object, the returned object belongs to the same class
as the members of the collection, such as "filter_spct"
, containing
the summary spectrum, with variables with names tagged for summaries other
than mean or median.
Details
Method specializations compute the sum at each wavelength across a
group of spectra stored in an object of one of the classes defined in
package 'photobiology'. Omission of NAs is done
separately at each wavelength. Interpolation is not applied, so all spectra
in x
must share the same set of wavelengths. An error is triggered
if this condition is nor fulfilled.
Examples
s_sum(sun_evening.mspct)
#> Object: source_spct [1,593 x 2]
#> Wavelength range 290-1000 nm, step 0.34-0.47 nm
#> Label: Sum of 5 source_spct objects.
#> cosine.hour.9
#> Measured on 2023-06-12 18:38:00.379657 UTC
#> Measured on 2023-06-12 18:39:00.797266 UTC
#> Measured on 2023-06-12 18:40:00.714554 UTC
#> Measured on 2023-06-12 18:41:00.768459 UTC
#> Measured on 2023-06-12 18:42:00.769065 UTC
#> Measured at 60.227 N, 24.018 E; Viikki, Helsinki, FI
#> Variables:
#> w.length: Wavelength [nm]
#> s.e.irrad: Spectral energy irradiance [W m-2 nm-1]
#> --
#> # A tibble: 1,593 × 2
#> w.length s.e.irrad
#> <dbl> <dbl>
#> 1 290 0
#> 2 290. 0
#> 3 291. 0
#> 4 291. 0
#> 5 292. 0
#> 6 292. 0
#> 7 293. 0
#> 8 293. 0
#> 9 294. 0
#> 10 294. 0
#> # ℹ 1,583 more rows