kfold {dismo} | R Documentation |
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']
[Package dismo version 1.3-14 Index]