Description Author(s) Examples

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

Daryanaz Dargahi <[email protected]>

1 2 3 4 5 6 7 8 9 10 11 | ```
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)
``` |

```
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 Nov. 17, 2017, 10:33 a.m.

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