# NOT RUN {
## Say we want to find observations similar to the first observation.
## The first observation is identical to itself, so it gets weight 1. The
## second observation is similar, so it gets some weight. The rest are more
## different, and so get zero weight.
data(mtcars)
similarityweight(x = mtcars[1, ], data = mtcars)
## By increasing the threshold, we can find observations which are more
## approximately similar to the first row. Note that the second observation
## now has weight 1, so we lose some ability to discern how similar
## observations are by increasing the threshold.
similarityweight(x = mtcars[1, ], data = mtcars, threshold = 5)
## Can provide a number of points to 'x'. Here we see that the Mazda RX4 Wag
## is more similar to the Merc 280 than the Mazda RX4 is.
similarityweight(mtcars[1:2, ], mtcars, threshold = 3)
# }
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