compute_motif_stats: Statistics of assembly motifs

In functClust: Functional Clustering of Redundant Components of a System

Description

Take a matrix of tree calibrations, a matrix of tree predictions, a matrix of assembly motifs, and return statistics of each observed assembly motif.

Usage

compute_motif_stats(tCal, tPrd, mMotifs)

Arguments

tCal	a numeric matrix. This matrix is the matrix of performances predicted by the valid tree model.
tPrd	a numeric matrix. This matrix is the matrix of performances predicted by cross-validation.
mMotifs	a numeric matrix. This matrix is the matrix of assembly motifs.

Details

The different assembly motifs have different length: the motif set can be treated as a list. Each assembly motif is separately analysed.

• uTab: the assemblages that belong to the assembly motif,

• uMean: the arithmetic mean of motif performances,

• uSd: the standard deviation of motif performances,

• uRmse: the Root Mean Square Error of motif performances,

• uR2: the Coefficient of determination of motif performances,

• uSlope: the slope of linear regression with motif performances.

Value

Returns the statistics for each assembly motif.

functClust documentation built on Dec. 2, 2020, 5:06 p.m.