Nothing
library(MixfMRI, quietly = TRUE)
source("00-set_condition.r")
### Test 3d data
da <- eval(parse(text = paste(case, sep = "")))
id <- !is.na(da)
PV.gbd <- da[id]
id.loc <- which(id, arr.ind = TRUE)
X.gbd <- t(t(id.loc) / dim(da))
### Load results
fn.in <- paste("./output/ret.", case, ".tp.new.rda", sep = "")
load(fn.in)
slices <- 1
n.row <- floor(sqrt(slices))
n.col <- ceiling(slices / n.row)
id <- rep(1:slices, each = prod(dim(da)[1:2]))[! is.na(da)]
### plotfclust
for(i.k in K.min:K.max){
if(!is.null(ret.PARAM[[i.k]]) && length(ret.PARAM) >= i.k){
i.hat.k <- ret.PARAM[[i.k]]$param$K
fn.plot <- paste("./plot/", case, "_fclust_K_", i.k,
"_hatK_", i.hat.k, ".pdf", sep = "")
pdf(fn.plot, height = n.row * 2, width = n.col * 2)
par(mfrow = c(n.row, n.col), mar = c(0, 0, 0, 0))
plotfclust(da, ret.PARAM[[i.k]]$posterior,
main = "")
dev.off()
}
}
### plotfclustpv
for(i.k in K.min:K.max){
if(!is.null(ret.PARAM[[i.k]]) && length(ret.PARAM) >= i.k){
i.hat.k <- ret.PARAM[[i.k]]$param$K
fn.plot <- paste("./plot/", case, "_fclustpv_K_", i.k,
"_hatK_", i.hat.k, ".pdf", sep = "")
pdf(fn.plot, height = n.row * 2, width = n.col * 2)
par(mfrow = c(n.row, n.col), mar = c(0, 0, 0, 0))
plotfclustpv(da, ret.PARAM[[i.k]]$posterior,
main = "")
dev.off()
}
}
### plotpv
for(i.k in K.min:K.max){
if(!is.null(ret.PARAM[[i.k]]) && length(ret.PARAM) >= i.k){
i.hat.k <- ret.PARAM[[i.k]]$param$K
fn.plot <- paste("./plot/", case, "_pv_K_", i.k,
"_hatK_", i.hat.k, ".pdf", sep = "")
pdf(fn.plot, height = n.row * 2, width = n.col * 2)
par(mfrow = c(n.row, n.col), mar = c(0, 0, 0, 0))
plotpv(da, ret.PARAM[[i.k]]$posterior,
ret.PARAM[[i.k]]$param, main = "")
dev.off()
}
}
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