sp_manyroc_with_cv: Do manyROC analysis with cross-validation for hyperSpec...

Description Usage Arguments Details See Also Examples

View source: R/sp_manyroc_with_cv.R

Description

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Usage

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sp_manyroc_with_cv(
  Var,
  Spectra,
  k_folds = 5,
  times = 10,
  seeds = 2222222,
  kind = "L'Ecuyer-CMRG",
  n_min = k_folds
)

Arguments

Var

(character(1)\ factor)
Either the name of variable in Spectra which contains the grouping variable or a factor vector (or convertible to factor) with values for grouping.

Spectra

hyperSpec object, that contains colum ID for spectra blocking, columns with grouping variables as well as spectroscopic information.

k_folds

(positive integer)
The number of folds in k-fold cross-validation.

times

(positive integer)
The number of repetitions in repeated k-fold cross-validation.

seeds

(NULL | integer)
Either a vector of integers of length times to set seed for each repetition of k-fold cross-validation. For more about seeds see set.seed().

Each seed will be passed to cvo_create_folds.()

kind

character or NULL. If kind is a character string, set R's RNG to the kind desired. Use "default" to return to the R default. See ‘Details’ for the interpretation of NULL.

n_min

integer(1)
minimum acceptable number of unique samples per group. Must be at least k_folds or bigger.

Details

Function sp_manyroc_with_cv will be renamed in the future.

See Also

sp_manyroc_with_cv_by_variable

Examples

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library(manyROC)

fluorescence$ID  <- 1:nrow(fluorescence)
sp_manyroc_with_cv("gr", fluorescence[, , 500 ~ 502], k_folds = 3, times = 2)

GegznaV/multiROC documentation built on Sept. 15, 2020, 10:33 a.m.