gfd_clasif_data {SpatFD} | R Documentation |
Divide the data in train and test dataset
Description
This function divides the data in train and test datasets
Usage
gfd_clasif_data(gfd_data, prop.train, seed = NULL)
Arguments
gfd_data |
Object of class 'gfdata'. Not NULL. |
prop.train |
Number between 0 and 1, indicating the proportion to be left on train dataset |
seed |
seed for the sampling algorithms |
Value
gfdata divided object
Author(s)
Diego Sandoval diasandovalsk@unal.edu.co.
References
Bohorquez, M., Giraldo, R., & Mateu, J. (2016). Multivariate functional random fields: prediction and optimal sampling. Stochastic Environmental Research and Risk Assessment, 31, pages53–70 (2017).
Examples
library(SpatFD)
data(vowels)
#### Create parameters and names for the data.
p = 228 ; nelec = 21 ; nvow = 5
names_vowels = c("a","e","i","o","u")
n.basis<-c(14,13,12,13,11)
s4.gfdata = gfdata(data=vowels,p=p,names=names_vowels,coords=vowels_coords,nbasis=n.basis)
s4.sep=gfd_clasif_data(s4.gfdata, 0.8,seed = 2910)
s4.train=s4.sep$train
s4.test=s4.sep$test
[Package SpatFD version 0.0.1 Index]