AggregateSimple: Simple aggregation of repeated rankings
In GeneSelector: Stability and Aggregation of ranked gene lists

Description Usage Arguments Value Author(s) See Also Examples

All obtained rankings are aggregated by a genewise summary measure.

1	AggregateSimple(RR, measure = c("mode", "mean", "trimmed.mean", "median", "quantile"), q=NULL, trim = NULL)

`RR`	An object of class `RepeatedRanking`
`measure`	The statistic to be used as basis for the aggregated ranking. mode The rank occuring most frequently. If several ranks occur equally often, the lowest one is used. mean The mean of the ranks. trimmed.mean The trimmed mean of the ranks, i.e. the mean resulting when throwing away the `trim`*100 percent most extreme observations at both tails. median The median of the ranks. quantile The `q`-quantile, `0 <= q <= 1`, of the ranks.
`q`	Only specified if `measure="quantile"`.
`trim`	s. `trimmed.mean`.

An object of class AggregatedRanking.

Martin Slawski
Anne-Laure Boulesteix

RepeatRanking, AggregateSVD, AggregatePenalty, AggregateMC

## Load toy gene expression data
data(toydata)
### class labels
yy <- toydata[1,]
### gene expression
xx <- toydata[-1,]
### run RankingTstat
ordT <- RankingTstat(xx, yy, type="unpaired")
### Generate Leave-one-out Foldmatrix
loo <- GenerateFoldMatrix(y = yy, k=1)
### Get all rankings
loor_ordT <- RepeatRanking(ordT, loo)
### aggregate rankings
agg_simple_ordT <- AggregateSimple(loor_ordT, measure ="mean")
toplist(agg_simple_ordT)