61 lines
2.2 KiB
R
61 lines
2.2 KiB
R
updateGlobalVariables <- function(ind, i2, diffInCounts, adjprior, priorTerm) {
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# % Suorittaa globaalien muuttujien muutokset, kun yksil<69> ind
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# % on siirret<65><74>n koriin i2.
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i1 <- globals$PARTITION[ind]
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globals$PARTITION[ind] <- i2
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globals$COUNTS[, , i1] <- globals$COUNTS[, , i1] - diffInCounts
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globals$COUNTS[, , i2] <- globals$COUNTS[, , i2] + diffInCounts
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globals$SUMCOUNTS[i1, ] <- globals$SUMCOUNTS[i1, ] - colSums(diffInCounts)
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globals$SUMCOUNTS[i2, ] <- globals$SUMCOUNTS[i2, ] + colSums(diffInCounts)
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globals$POP_LOGML[c(i1, i2)] <- computePopulationLogml(
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c(i1, i2), adjprior, priorTerm
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)
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globals$LOGDIFF[, c(i1, i2)] <- -Inf
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inx <- c(matlab2r::find(globals$PARTITION == i1), matlab2r::find(globals$PARTITION == i2))
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globals$LOGDIFF[inx, ] <- -Inf
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}
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updateGlobalVariables2 <- function(i1, i2, diffInCounts, adjprior, priorTerm) {
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# % Suorittaa globaalien muuttujien muutokset, kun kaikki
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# % korissa i1 olevat yksil<69>t siirret<65><74>n koriin i2.
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inds <- matlab2r::find(PARTITION == i1)
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PARTITION[inds] <- i2
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COUNTS[, , i1] <- COUNTS[, , i1] - diffInCounts
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COUNTS[, , i2] <- COUNTS[, , i2] + diffInCounts
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SUMCOUNTS[i1, ] <- SUMCOUNTS[i1, ] - colSums(diffInCounts)
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SUMCOUNTS[i2, ] <- SUMCOUNTS[i2, ] + colSums(diffInCounts)
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POP_LOGML[i1] <- 0
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POP_LOGML[i2] <- computePopulationLogml(i2, adjprior, priorTerm)
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LOGDIFF[, c(i1, i2)] <- -Inf
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inx <- c(matlab2r::find(PARTITION == i1), matlab2r::find(PARTITION == i2))
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LOGDIFF[inx, ] <- -Inf
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}
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updateGlobalVariables3 <- function(muuttuvat, diffInCounts, adjprior, priorTerm, i2) {
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# % Suorittaa globaalien muuttujien p<>ivitykset, kun yksil<69>t 'muuttuvat'
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# % siirret<65><74>n koriin i2. Ennen siirtoa yksil<69>iden on kuuluttava samaan
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# % koriin.
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i1 <- PARTITION[muuttuvat(1)]
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PARTITION[muuttuvat] <- i2
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COUNTS[, , i1] <- COUNTS[, , i1] - diffInCounts
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COUNTS[, , i2] <- COUNTS[, , i2] + diffInCounts
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SUMCOUNTS[i1, ] <- SUMCOUNTS[i1, ] - colSums(diffInCounts)
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SUMCOUNTS[i2, ] <- SUMCOUNTS[i2, ] + colSums(diffInCounts)
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POP_LOGML[c(i1, i2)] <- computePopulationLogml(
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c(i1, i2), adjprior, priorTerm
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)
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LOGDIFF[, c(i1, i2)] <- -Inf
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inx <- c(matlab2r::find(PARTITION == i1), matlab2r::find(PARTITION == i2))
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LOGDIFF[inx, ] <- -Inf
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}
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