% Generated by roxygen2: do not edit by hand % Please edit documentation in R/proba.R \name{dmultinomialACGT} \alias{dmultinomialACGT} \title{Density probability function of a multinomial distribution for nucleotides} \usage{ dmultinomialACGT(A, C, G, T, pA, pC, pG, pT, log = FALSE) } \arguments{ \item{A}{numeric; number of observed *A* at a given site.} \item{C}{numeric; number of observed *C* at a given site.} \item{G}{numeric; number of observed *G* at a given site.} \item{T}{numeric; number of observed *T* at a given site.} \item{pA}{numeric; probability to observed a *A* at a given site.} \item{pC}{numeric; probability to observed a *C* at a given site.} \item{pG}{numeric; probability to observed a *G* at a given site.} \item{pT}{numeric; probability to observed a *T* at a given site.} \item{log}{logical; if TRUE, probabilities p are given as log(p).} } \value{ numeric; the density of probability of the log that probability of the observations given the probabilities of observation } \description{ Computes the probalility to observe a given number of A, C, G, T when probalilities of each nucleotide are pA, pC, pG, pT. } \examples{ dmultinomialACGT(c(3,4),c(3,6),c(3,2),c(3,5), 0.25,0.25,0.25,0.25) dmultinomialACGT(c(3,4),c(3,6),c(3,2),c(3,5), pA = 0.25, pC = 0.25, pG = 0.25, pT = 0.25, log=TRUE) } \author{ Eric Coissac }