predict_cal: 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 a same motif.

Usage

predict_cal(fct, assMotifs, mOccur, xpr,
                  opt.mean = "amean",
                  opt.mod  = "bymot"  )

Arguments

fct	a vector of numeric values (assembly properties).
assMotifs	a vector of labels of length(fct) (assembly motifs).
mOccur	a matrix of occurrence (occurrence of elements). Its first dimension equals to length(fct). Its second dimension equals to the number of elements.
xpr	a vector of labels of length(fct) (assembly experiments).
opt.mean	equal to "amean" (by default) or "gmean".
opt.mod	equal to "bymot" (by default) or "byelt".

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 the arithmetic mean of a vector, as standard mean function.

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