amean_byelt_jack: Arithmetic mean (amean) by motif (bymot) by jackknife (jack)...

In BenitoJaillard/combinAna: Element clustering that best accounts for an assembly property or function

Description

Take a numeric vector and return the predicted vector computed as the arithmetic mean of all elements belonging to the same motif.

Usage

amean_byelt_jack(fctMot, mOccurMot, jack)

Arguments

fctMot	a vector of numeric values of elements belonging to a same motif.
mOccurMot	a matrix of occurrence (occurrence of elements). Its first dimension equals to length(fctMot). Its second dimension equals to the number of elements.
jack	a vector of two elements. The first one jack[1] specifies the size of subset, the second one jack[2] specifies the number of subsets.

Details

Prediction is computed using arithmetic mean amean by motif bymot in a whole (WITHOUT taking into account species contribution). The elements belonging to a same motif are divided into jack[2] subsets of jack[1] elements. Prediction is computed by excluding jack[1] elements, of which the element to predict. If the total number of elements belonging to the motif is lower than jack[1]*jack[2], prediction is computed by Leave-One-Out (LOO).

Value

Return a vector of length(fctMot), of which values are computed as the arithmetic mean of all vector elements.

BenitoJaillard/combinAna documentation built on May 9, 2019, 2:17 a.m.