effDisc-helper: Helper functions for discrete effectiveness distributions

In julian-urbano/simIReff: Stochastic Simulation for Information Retrieval Evaluation: Effectiveness Scores

Description

These are functions to help in the creation and use of discrete effectiveness distributions.

Usage

matchTol(x, support, tol = 1e-04)

support(measure, runLength = 1000)

Arguments

x	a vector of effectiveness scores.
support	the support of the distribution.
tol	tolerance for matching.
measure	the case insensitive name of the effectiveness measure. See Details.
runLength	the maximum number of documents retrieved for a query (defautls to 1000).

Details

matchTol returns a vector of the positions of matches of x in the vector of possible support values, within tolerance (see match). This is helpful when data are loaded from disk and possibly rounded or truncated.

support obtains the discrete support defined by an effectiveness measure given its name. Current measures are Reciprocal Rank ("RR"), and Precision at k ("P@k" or "Pk", where k is the cutoff, eg. "P@10" or "P10").

Value

matchTol: an integer vector giving the position in the support of the match if there is a match, otherwise NA.

support: the support of the distribution of scores defined by the measure.

See Also

eff.disc.

Examples

support("rr")
support("rr", runLength = 10)
support("p@10")
support("p20")

(i <- matchTol(c(.1, .4, .41, .40001), support("p10")))
support("p10")[i]

julian-urbano/simIReff documentation built on May 21, 2019, 9:37 a.m.