AIJ: Aggregated individual judgements (AIJ) slot

In Prize: Prize: an R package for prioritization estimation based on analytic hierarchy process

Description

AIJ (Aggregated individual judgements) is a slot of geoAggreg class. It consists of a matrix of aggregated group judgements (a pairwise comparison matrix).

Author(s)

Daryanaz Dargahi <[e-mail]>

Examples

mat <- matrix(nrow = 4, ncol = 1, data = NA)
mat[,1] <- c(system.file('extdata','ind1.tsv',package = 'Prize'),
            system.file('extdata','ind2.tsv',package = 'Prize'),
            system.file('extdata','ind3.tsv',package = 'Prize'),
            system.file('extdata','ind4.tsv',package = 'Prize'))
rownames(mat) <- c('ind1','ind2','ind3', 'ind4')
colnames(mat) <- c('individual_judgement')

# non-weighted aggregation
res <- gaggregate(srcfile = mat, method = 'geometric', simulation = 500)
AIJ(res)

Example output

Reading individual judgements.
Aggregating individual judgements with geometric mean (AIJ).
Computing group consistency ratio (GCR).
Computing consensus index (CI).
                  Tumor_expression Normal_expression Frequency Epitopes
Tumor_expression         1.0000000         2.0000000 3.4641016 5.143687
Normal_expression        0.5000000         1.0000000 3.6628415 5.383563
Frequency                0.2886751         0.2730121 1.0000000 1.681793
Epitopes                 0.1944131         0.1857506 0.5946036 1.000000

Prize documentation built on April 28, 2020, 7:48 p.m.