feemindex | R Documentation |
Calculate fluorescence indices or peak values for individual FEEMs or groups of them.
feemindex(x, ...)
## S3 method for class 'feem'
feemindex(
x,
indices = c(
"HIX", "BIX", "MFI", "CFI", "YFI", "FrI",
"A", "B", "C", "M", "P", "T"
),
tolerance = 1, interpolate = FALSE, ...
)
## S3 method for class 'feemcube'
feemindex(x, ..., progress = FALSE)
## S3 method for class 'list'
feemindex(x, ..., progress = FALSE)
x |
A FEEM, a FEEM cube, or a list of |
indices |
Fluorescence indices or peaks to return. By default, all indices and peaks known to the function are returned. See Details for their meaning. |
tolerance |
A numeric scalar signifying the acceptable emission and excitation
wavelength error in nm. For example, if a wavelength of |
interpolate |
A string specifying an interpolation method (“whittaker”,
“loess”, “kriging”, “pchip”), or If interpolation is disabled, an index will get an When interpolation is enabled, required points that are missing from
the grid or present but set to |
... |
Additional parameters eventually passed to interpolation methods.
See |
progress |
Set to |
Available indices and peaks are:
HIX = area(em in [435, 480])/area(em in [300, 345]) at ex = 254 HIX = <sup> ∫ I(λ<sub>em</sub> ∈ [435, 480] nm) </sup>/<sub> ∫ I(λ<sub>em</sub> ∈ [300, 345] nm) </sub> at λ<sub>ex</sub> = 254 nm
Higher values of the humification index correspond to more condensed fluorescing molecules (higher C/H), more humified matter. Zsolnay1999 \itemBIX 3{ \mathrm{BIX} = \frac{ I(\lambda_\mathrm{em} = 380 \, \mathrm{nm}) }{ I(\lambda_\mathrm{em} = 430 \, \mathrm{nm}) } \; \mathrm{at} \; \lambda_\mathrm{ex} = 310 \, \mathrm{nm} BIX = I(em = 380 nm)/I(em = 430 nm) at ex = 310 nm BIX = <sup> I(λ<sub>em</sub> = 380 nm) </sup>/<sub> I(λ<sub>em</sub> = 430 nm) </sub> at λ<sub>ex</sub> = 310 nm Index of recent autochthonous contribution determines the presence of the \eqn{\beta
For individual feem
objects, a named numeric vector
containing the values requested via the indices
argument.
Otherwise, a data.frame
containing the values from
the vectors above and a column named sample
containing the
names of the samples (or numbers, if names were absent).
With edits and suggestions by Anastasia Drozdova.
feem
data(feems)
x <- feemscatter(feems$a, rep(25, 4), 'omit')
feemindex(x)
feemindex(x, interpolate = 'whittaker')
feemindex(feems[2:3])
feemindex(feemcube(feems[4:5], TRUE))
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