Nothing

```
# Delta Distance
# Function for computing Burrows's distance measure of a matrix of values,
# e.g. a table of word frequencies.
#
# Argument: a matrix or data table containing at least 2 rows and 2 cols
dist.delta = function(x, scale = TRUE){
# test if the input dataset is acceptable
if(is.matrix(x) == FALSE & is.data.frame(x) == FALSE) {
stop("cannot apply a distance measure: wrong data format!")
}
# then, test whether the number of rows and cols is >1
if(length(x[1,]) < 2 | length(x[,1]) < 2) {
stop("at least 2 cols and 2 rows are needed to compute a distance!")
}
# the Delta measure relies on scaled data -- if you don't have your matrix
# scaled already (i.e. converted to z-scores), switch this option on
if(scale == TRUE) {
x = scale(x)
}
# time to apply the measure: compute Manhattan distance and divide by
# the number of features (words)
y = dist(x, method = "manhattan") / length(x[1,])
return(y)
}
```

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