pkpd.protocols.protocol_pkpd_stats_mahalanobis module

class pkpd.protocols.protocol_pkpd_stats_mahalanobis.ProtPKPDStatsMahalanobis(**kwargs)[source]

Bases: pkpd.protocols.protocol_pkpd.ProtPKPD

Experiment 1 defines the mean and covariance for the Mahalanobis distance. Then, the Mahalanobis distance of all elements in Experiment 1 with respect to the mean is calculated

If a second experiment is given, then all distances from the second to the mean of the first experiment

are also calculated.

Protocol created by

getValues(experiment, expression)[source]
printStats(allF, Fstr, explanation)[source]
runCompare(objId1, labels, expression1, expression2)[source]