Nothing
library(MixfMRI, quietly = TRUE)
set.seed(1234)
phantom <- shepp2fMRI
### Generate 2d data.
da <- gendataset(phantom = phantom, overlap = 0.01)$pval
id <- !is.na(da)
PV.gbd <- da[id]
id.loc <- which(id, arr.ind = TRUE)
X.gbd <- t(t(id.loc) / dim(da))
### Test 2d data.
i.k <- 4
set.seed(1234 + i.k)
fcobj <- fclust(X.gbd, PV.gbd, K = i.k)
### Test log odds ratio.
x <- list(X.gbd = X.gbd, PV.gbd = PV.gbd)
post.z <- post.prob(x, fcobj)
lor <- logor.stat(x, fcobj, post.z)
### Check if 95% CE covers log odd ratio = 1.
id.notna <- !is.na(lor$df)
id.cover <- which(lor$test.stat[id.notna] < pchisq(0.95, lor$df[id.notna]))
### Get voxels needed for merging.
id.active <- which(fcobj$class != 1)
id.merge <- id.active[id.notna][id.cover]
### Get new class.
ret.class <- da
ret.class[id] <- fcobj$class
logor.class <- ret.class
logor.class[id][id.merge] <- 1
### Plot
xlim <- ylim <- c(0.19, 0.82)
par(mfrow = c(2, 2), mar = c(0, 0, 3, 0))
image(da, xlim = xlim, ylim = ylim, axes = FALSE,
col = rev(my.YlOrRd(10)), main = "Simulated True")
image(ret.class, xlim = xlim, ylim = ylim, axes = FALSE,
col = rev(my.YlGnBu(10)), main = "Estimated (K = 4)")
image(logor.class, xlim = xlim, ylim = ylim, axes = FALSE,
col = rev(my.YlGnBu(10)), main = "Log Odds Ratio")
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.