biomod2 (version 4.2-4)

bm_SampleBinaryVector: Sample binary vector

Description

This internal biomod2 function allows the user to sample a binary vector keeping the same proportion of 0 and 1 as the initial vector.

Usage

bm_SampleBinaryVector(obs, ratio, as.logical = FALSE, seedval = NULL)

Value

A list containing to elements is returned :

calibration

IDs of elements selected for calibration

validation

IDs of elements selected for validation (complementary to the calibration set)

Arguments

obs

a vector containing binary values (either 0 or 1)

ratio

a numeric between 0 and 1 corresponding to the proportion of obs values to sample

as.logical

(optional, default FALSE)
A logical value defining whether a vector of TRUE/FALSE values should be returned (if as.logical = TRUE) or a vector containing the indices of obs elements to keep

seedval

(optional, default NULL)
An integer value corresponding to the new seed value to be set

Author

Damien Georges

See Also

bm_CVnnet

Other Secundary functions: bm_BinaryTransformation(), bm_CVnnet(), bm_CrossValidation(), bm_FindOptimStat(), bm_MakeFormula(), bm_PlotEvalBoxplot(), bm_PlotEvalMean(), bm_PlotRangeSize(), bm_PlotResponseCurves(), bm_PlotVarImpBoxplot(), bm_PseudoAbsences(), bm_RunModelsLoop(), bm_SRE(), bm_SampleFactorLevels(), bm_VariablesImportance()

Examples

## Generate a binary vector
vec.a <- sample(c(0, 1), 100, replace = TRUE)

## Generate calibration / validation datasets
bm_SampleBinaryVector(obs = vec.a, ratio = 0.7)