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##==============================================================================
##
## THE AMI SUITE - AMI, STATISTICAL UNCERTAINTY (HR), CONDITIONAL UNCERTAINTY (DR)
## REALIZED UNCERTAINTY (AMI/HR)
##
##==============================================================================
UncInd <- function (Flow = NULL, # from-to
Tij = t(Flow), # to-from
Import =NULL, # flow from external (colNr Tij)
Export =NULL) # flow to external (colNr Tij)
{
N <- InternalNetwork (Tij,Import,Export)
# number of columns and rows for total flows (Tij)
ncTij <- ncol(Tij)
nrTij <- nrow(Tij)
ncomp <- ncol(N$Tint) # the number of compartments (without externals)
compNames <- rownames(N$Tint) # names of internal compartment
# Sum of all flows, including externals
Throughput <- sum(Tij)
##
## AVERAGE MUTUAL INFORMATION
##
# ascendency for the entire network (nrTij: number of rows in Tij)
Ascend <- Ascendfun(Tij,1:nrow(Tij),1:ncol(Tij))
AMI <- Ascend[[1]] / Throughput
##
## STATISTICAL UNCERTAINTY
##
Q <- N$FlowFrom/Throughput
Q <- Q[Q>0]
HR <- -sum(Q*log2(Q))
##
## CONDITIONAL UNCERTAINTY INDEX
##
DR <- HR - AMI
##
## REALIZED UNCERTAINTY INDEX
##
RU <- AMI/HR
##
## MAXIMUM UNCERTAINTY (Hmax)
##
Hmax <- ncomp*log2(nrTij)
##
## CONSTRAINT INFORMATION (Hc)
##
blsum <- 0
for (i in 1:nrTij) { # all the rows (including externals)
for (j in N$jN) { # only internal columns
if (Tij[i,j]>0) blsum <- blsum +
(Tij[i,j]/N$FlowFrom[j])*log2(Tij[i,j]/N$FlowFrom[j])
}
}
Hc <- Hmax + blsum
names(Hc)<-NULL
##
## CONSTRAINT EFFICIENCY
##
CE <- Hc/Hmax
##
## NETWORK EFFICIENCY
##
Hsys <- Hmax - Hc
list(AMI=AMI, HR=HR, DR=DR, RU=RU,Hmax=Hmax,Hc=Hc,
Hsys=Hsys,CE=CE)
}
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