corrMatInv: Generate an inversed correlation matrix between expression...

In jingwyang/TreeExp: the R package for analyzing expression evolution based on RNA-seq data

Description

Generate an inversed correlation matrix between expression profiles of species

Usage

corrMatInv(objects = NULL, taxa = "all", subtaxa = NULL,
  method = c("spe", "pea"))

Arguments

objects	a vector of objects of class taxonExp or an object of class taxaExp
taxa	one single character or a vector of characters specifying main taxa to generate an inversed correlation matrix. If one single character "all" is given, all the taxa included in the taxaExp will be matched and included ("all" by default).
subtaxa	one single character specifying sub taxa to be included in generating an inversed corrlation matrix.
method	specifying which distance method (Spearman or Pearson) to be used to estimate correlations between expression profiles ("spe" by default)

Value

returns an inversed correlation matrix

Examples

data('tetraExp')
species.group <- c("Human", "Chimpanzee", "Bonobo", "Gorilla",
"Macaque", "Mouse", "Opossum", "Platypus")
inv.corr.mat <- corrMatInv(tetraExp, taxa = species.group, subtaxa = "Brain")

jingwyang/TreeExp documentation built on June 11, 2019, 6:17 p.m.