dismo (version 1.3-9)

kfold: 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)

Value

a vector with group assignments

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

Author

Robert J. Hijmans

Examples

Run this code

#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']

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