RANDSUBSET Select a random subset of samplesSUB=RANDSUBSET(DATA,PAR) [SUB,REST,IND1,IND2]=RANDSUBSET(DATA,PAR,options) SUB=RANDSUBSET(DATA,PROP,PAR) % sample the property PROP [SUB,REST]=RANDSUBSET(DATA) % bootstrapped sampling of DATA INPUT DATA Data set PAR Selection parameter (scalar or vector) 01 Number of samples per class PROP Name of property to sample (default: 'lab') OUTPUT SUB Selected subset REST Remainder of the DATA IND1,IND2 Indices of the samples in SUB and REST OPTIONS 'all' Select the subset from a complete data set 'atmax' Take at maximum the specified number of samples DESCRIPTION RANDSUBSET selects a random subset of samples in DATA. The Selection is performed per-class by default. If PAR is a vector, it specifies selection for each class separately (zero entries are supported). To select fraction or number of samples from the complete data set, add 'all' option: SUB=RANDSUBSET(DATA,PAR,'all') If property name PROP is specified, RANDSUBSET works on this property. For example, to select random 100 samples per-patient, use: SUB=RANDSUBSET(DATA,'patient',100) Note that the PROP property must be indexed (SDLAB object). To make sure the subset SUB does not contain more than M samples, use the 'atmax' option. If RANDSUBSET is given only DATA, it performs bootstrap sampling, i.e. sampling with replacement. The SUB set then contains the same number of samples as DATA but some of them will be present multiple times. The REST set contains out-of-bootstrap samples, not present in SUB.

`randsubset`

is referenced in examples: