train_validation_poligon: This function performs the separation of training samples and...

In elpidiofilho/labgeo: Collection of functions to fit models with emphasis in land use and soil mapping

Description

This function performs the separation of training samples and validation for samples collected in the form of polygons. Note that the class has to be the first column and the polygon number has to be the second column of the dataframe.

Usage

train_validation_poligon(dfall, class, poligon, p = 0.75, seed = 313)

Arguments

dfall	Dataframe with class and poligon columns
class	string with name of variable with class value
poligon	string with name of variable with poligon id
p	double the percentage of data that goes to training
seed	numeric seed to control random numbers generation

Author(s)

Elpidio Filho, [e-mail]

Examples

## Not run: 
dfall = df %>% select(classe, poligono, everything())
vt = treino_validacao_poligono(dfall, class = 'classe', poligon = 'poligono', p = 0.80, seed = 123)
treino = dfall[treino,]
valida = dfall[-treino,]

## End(Not run)

elpidiofilho/labgeo documentation built on May 14, 2019, 9:35 a.m.