Settings for subsampling and averaging are determined by MP$settings$subsample.N and MP$settings$subsample.R
1 2 3 | MPgetAverageMetaDistance(MP, standardize = MPrankNeighbors,
subsample.N = NULL, subsample.R = NULL, alpha = NULL,
beta = NULL, verbose = TRUE, ...)
|
MP |
MultiPattern configuration object |
standardize |
function used to transform similarity matrices |
subsample.N |
integer, number of samples in each subsampling; when NULL, value is extracted from MP$settings |
subsample.R |
integer, number of repetitions; when NULL, value is extracted from MP$settings |
alpha |
numeric, used as an alternative way to transform similarity matrices, applied after transform.fun; when null, value is extracted from MP$settings |
beta |
numeric, sets the Lbeta norm; when NULL, value is extracted from MP$settings |
verbose |
logical, set TRUE to print progress messages |
... |
additional arguments, used when applying standardize function to the MPS |
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