compute.RQ: Function to compute R and Q statistics as defined in - see...

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

Description

Function computes R (average rank across studies) and Q (sum of the squared deviations of each study's rank for the gene from the mean of the ranks for that gene)

Usage

1

Arguments

RAN

matrix with rank of genes as produced by rank.genes, with rows coresponding to genes and columns coresponding to studies

Value

matrix with first column of R statistic and second of Q statistic

Author(s)

Ivana Ihantova

References

Zintzaras, E., Ioannidis, J.P.A 2008 Meta-analysis for ranked discovery datasets: Theoretical framework and empirical demonstration for microarrays, Computational Biology and Chemistry 32, 39-47

See Also

rank.genes,MCtest

Examples

1
2
3
RANK<-cbind(sample(100), sample(100), sample(100))
RQ<-compute.RQ(RANK)
head(RQ)

MAMA documentation built on Jan. 15, 2017, 3:05 p.m.

Related to compute.RQ in MAMA...