weighted: Weighted operations
In BioCor: Functional similarities

Description Usage Arguments Details Value Author(s) See Also Examples

Calculates the weighted sum or product of x. Each values should have its weight, otherwise it will throw an error.

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weighted.sum(x, w, abs = TRUE)

weighted.prod(x, w)

`x`	an object containing the values whose weighted operations is to be computed
`w`	a numerical vector of weights the same length as `x` giving the weights to use for elements of `x`.
`abs`	If any `x` is negative you want the result negative too?

This functions are thought to be used with similarities. As some similarities might be positive and others negative the argument abs is provided for weighted.sum, assuming that only one similarity will be negative (usually the one coming from expression correlation).

weighted.sum returns the sum of the product of x*weights removing all NA values. See parameter abs if there are any negative values.

weighted.prod returns the product of product of x*weights removing all NA values.

Llu<c3><ad>s Revilla

weighted.mean, similarities and addSimilarities

expr <- c(-0.2, 0.3, 0.5, 0.8, 0.1)
weighted.sum(expr, c(0.5, 0.2, 0.1, 0.1, 0.1))
weighted.sum(expr, c(0.5, 0.2, 0.1, 0.2, 0.1), FALSE)
weighted.sum(expr, c(0.4, 0.2, 0.1, 0.2, 0.1))
weighted.sum(expr, c(0.4, 0.2, 0.1, 0.2, 0.1), FALSE)
weighted.sum(expr, c(0.4, 0.2, 0, 0.2, 0.1))
weighted.sum(expr, c(0.5, 0.2, 0, 0.2, 0.1))
# Compared to weighted.prod:
weighted.prod(expr, c(0.5, 0.2, 0.1, 0.1, 0.1))
weighted.prod(expr, c(0.4, 0.2, 0.1, 0.2, 0.1))
weighted.prod(expr, c(0.4, 0.2, 0, 0.2, 0.1))
weighted.prod(expr, c(0.5, 0.2, 0, 0.2, 0.1))