Encodemethod

Purpose

Create a cross-validation index vector for a given method.

Synopsis

cvi = encodemethod(items,method,n,blocksize)

Output (cvi) is a vector containing the group number of each item.

Description

Inputs

• items = number of items to sort into sets [e.g., size(x,1) for x a data array].

• method = string defining the cross-validation method defined below.

• n = number of subsets to split the data into

• blocksize = number of items to include in each block (NOTE: blocksize for 'vet' method only)

The input parameter method can be any of the following:

'vet'  : Venetian blinds. Every n-th item is grouped together. Optionally allows grouping of more than one sample together using "blocksize" input.

'con'  : Contiguous blocks. Consecutive items are put into n groups.

'loo'  : Leave one out. Each item is in an individual group, input (n) can be omitted.

'rnd'  : Random. items are randomly split into n equal sized groups.

Outputs

• outputs = vector of integer values giving the group number of each item.

Examples

cvi = encodemethod(20,'con',4);
cvi = encodemethod(20,'vet',5,2);

See Also

crossval