rankThenAggregate: Performs ranking via rank-then-aggregate

In wiesenfa/challengeR: Analyzing assessment data of biomedical image analysis competitions and visualization of results

Performs ranking via rank-then-aggregate

Description

Performs ranking by first computing a rank for each case for each algorithm ("rank first"). The final rank is based on the aggregated ranks for the cases. This ranking method handles missing values implicitly by assigning the worst rank to missing algorithm performances.

Usage

rankThenAggregate(object, FUN, ties.method = "min")

Arguments

object	The challenge object.
FUN	The aggregation function, e.g., mean, median, min, max, function(x), quantile(x, probs=0.05).
ties.method	A string specifying how ties are treated, see base::rank().

Value

An S3 object of class "ranked.list" to represent a ranked assessment data set.

See Also

Other ranking functions: aggregateThenRank(), testThenRank()

Examples

## Not run: 
 rankThenAggregate(challenge, FUN = mean)

## End(Not run)

wiesenfa/challengeR documentation built on Aug. 25, 2023, 6:43 a.m.