Nothing

```
# k means at a single locus
kmeanslocus = function(means,data)
{
# no result if no data
if(length(data)==0) return(NULL)
diffs = sapply(means,FUN=function(x) abs(x-as.numeric(data)))
# best group if one data point
if(length(data)==1) return(which.min(diffs))
cols = col(diffs)
rows = row(diffs)
sorted = order(unlist(diffs))
# sort everything
sortedCols = cols[sorted]
sortedRows = rows[sorted]
sortedVals = c(diffs)[sorted]
# assign best fitting groups
out = vector(length=nrow(diffs))
for(i in 1:5)
{
# best fit
colIndex = sortedCols[1]
rowIndex = sortedRows[1]
out[rowIndex] = colIndex
# remove all possible assignment for that peak
toRemove = which(sortedRows==rowIndex)
# remove all possible assignments for that individual (max=2 per person)
if(length(which(out==colIndex))==2) toRemove = unique(c(toRemove,which(sortedCols==colIndex)))
# resort
sortedCols = sortedCols[-toRemove]
sortedRows = sortedRows[-toRemove]
sortedVals = sortedVals[-toRemove]
}
return(out)
}
# single iteration of k means
kmeansIt = function(means,heights)
{
groups = sapply(heights,FUN=function(x) sapply(names(heights[[1]]),FUN=function(y) kmeanslocus(means,x[[y]])),simplify=FALSE)
newMeans = sapply(1:length(means),FUN=function(x) mean(as.numeric(unlist(heights)[which(unlist(groups)==x)])))
return(newMeans)
}
# single start kMeans
startKmeans = function(heights,nU,nIt=10)
{
means = runif(nU,0,5000)
for(i in 1:nIt)
{
means = kmeansIt(means,heights)
}
return(means)
}
# multiple kmeans
multiKmeans = function(heights,nU,nStart=10,nIt=10)
{
multi = replicate(nIt,startKmeans(heights,nU,nIt))
multi = apply(multi,MARGIN=2,FUN=function(x) sort(x,na.last=TRUE))
return(rowMeans(multi,na.rm=TRUE))
}
```

**Any scripts or data that you put into this service are public.**

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.