cr_4s: CR values of each sediment mixture for four sources
In eead-csic-eesa/fingerPro_model: Sediment Source Fingerprinting
cr_4s R Documentation
CR values of each sediment mixture for four sources
Description
Compute the consensus ranking method for the selected dataset.
Usage
cr_4s(source, mixture, maxiter = 2000, seed = 123456)
Arguments
source
Data frame containing the sediment sources from a dataset
mixture
Data frame containing one of the dataset mixtures
maxiter
Number of iteration for each tracer
seed
Seed for the random number generator
Value
Data frame containing the CR score for each tracer.
eead-csic-eesa/fingerPro_model documentation built on July 6, 2023, 12:07 a.m.
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| cr_4s | R Documentation |
CR values of each sediment mixture for four sources
Description
Compute the consensus ranking method for the selected dataset.
Usage
cr_4s(source, mixture, maxiter = 2000, seed = 123456)
Arguments
source |
Data frame containing the sediment sources from a dataset |
mixture |
Data frame containing one of the dataset mixtures |
maxiter |
Number of iteration for each tracer |
seed |
Seed for the random number generator |
Value
Data frame containing the CR score for each tracer.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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