This vignette demonstrates functions in the data
range.
library(shrt)
ji
computes the Jaccard index of two sets. The Jaccard index is a commonly
used metrics in data science. It is defined as the size of the set
intersection, normalized by the size of the union.
setA = c("alpha", "beta") setB = c("beta", "gamma", "delta") ji(setA, setB)
oi
computes the overlap index of two sets. This index normalizes the size
of set intersection by the size of the first set only. (This is in contrast
with the Jaccard index, which normalizes the size of the union of the two
sets).
setA = c("alpha", "beta") setB = c("beta", "gamma", "delta") oi(setA, setB)
Note that the overlap index is not symmetrical.
oi(setB, setA)
setsummary
computes an overview of set membership. It takes two vectors
that represent sets of objects. It outputs a list with summary statistics:
the set of private members in each of the two inputs, the set of common
objects, and a vector with the element counts.
setA = c("alpha", "beta") setB = c("beta", "gamma", "delta") setsummary(setA, setB)
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