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

In GegznaV/manyROC: Tools for ROC Analyis

Description

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Usage

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

library(manyROC)

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

GegznaV/manyROC documentation built on Sept. 18, 2020, 10:28 p.m.