kfold: k-fold partitioning

In dismo: Species Distribution Modeling

k-fold partitioning

Description

k-fold partitioning of a data set for model testing purposes. Each record in a matrix (or similar data structure) is randomly assigned to a group. Group numbers are between 1 and k.

Usage

kfold(x, k=5, by)

Arguments

x	a vector, matrix, data.frame, or Spatial object
k	number of groups
by	Optional argument. A vector or factor with sub-groups (e.g. species). Its length should be the same as the number of records in x

Value

a vector with group assignments

Author(s)

Robert J. Hijmans

Examples

#library(disdat)
#data(NSWtrain)
## a single species
#srsp1 <- subset(NSWtrain, spid=='srsp1')
#kfold(srsp1, k = 5)

## all species
#k = kfold(NSWtrain, k=5, by=NSWtrain$spid)

#k[NSWtrain$spid=='srsp1']
## each group has the same number of records 
##(except for adjustments if the number of records divided by k is not an integer) 
#table(k[NSWtrain$spid=='srsp1'])
#k[NSWtrain$spid=='ousp5']

dismo documentation built on May 31, 2023, 6:15 p.m.