eem_red2smallest: Remove wavelengths, that are missing in at least one sample...

In MatthiasPucher/staRdom: PARAFAC Analysis of EEMs from DOM

Remove wavelengths, that are missing in at least one sample form the whole set.

Description

Remove wavelengths, that are missing in at least one sample form the whole set.

Usage

eem_red2smallest(data, verbose = FALSE)

Arguments

data	data of EEM samples as eemlist
verbose	states whether additional information is given in the command line

Details

This step is neccessary to perform a PARAFAC analysis which can only be calculated with spectra of similar range.

Value

eemlist with reduced spectral width

Examples

require(dplyr)

data(eem_list)

eem_list_red <- eem_red2smallest(eem_list)

# create an eemlist where data is missing
eem_list2 <- eem_exclude(eem_list,
    list("ex" = c(280,290,350),
         "em" = c(402,510),
         "sample" = c()))

# modify names of samples with missing data
eem_names(eem_list2) <- paste0("x",eem_names(eem_list2))

# combined the lists with and without missing data
eem_list3 <- eem_bind(eem_list,eem_list2)
#ggeem(eem_list3)

# reduce the data in the whole sampleset to the smallest wavelengths that are present in all samples
eem_list4 <- eem_red2smallest(eem_list3)
#ggeem(eem_list4)

MatthiasPucher/staRdom documentation built on June 30, 2023, 10:55 a.m.