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2006 Mar 23
0
Writing a function to fit ALSOS models. problem with normalization?
...values to within-category means
			mx[,i] = catmeans[tmpfac]
			# normalize according to Young (1981)
			mx[,i] = mx[,i] * (nx[,i] %*% nx[,i]) / (mx[,i] %*% mx[,i])
			
		}
		x[,x.facs] = mx[,x.facs]
	}
}
# as described in Kruskal (1964)
kruskal.ordering = function(numeric.data, tmpfac) {
	j = 1
	upact = T
	while(T) {
		catmeans = tapply(numeric.data, tmpfac, mean) # vector w as many
items as tmpfac cats
		# have we finished?
		if (j>nlevels(tmpfac)) return (list(catmeans=catmeans,tmpfac=tmpfac))
		if ((j==nlevels(tmpfac) || catmeans[j] <= catmeans[j+1]) &&
				(j==1 || catmeans[j]...