Individual priority (IP) slot

Description

IP (Individual priority) is a slot of geoAggreg and ariAggreg classes. It consists of a matrix of individual and aggregated group AHP priorities.

Author(s)

Daryanaz Dargahi <daryanazdargahi@gmail.com>

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')

# Aggregation of individual judgements
res <- gaggregate(srcfile = mat, method = 'geometric', simulation = 500)
IP(res)

# Aggregation of individual priorities
res <- gaggregate(srcfile = mat, method = 'arithmetic', simulation = 500)
IP(res)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> library(Prize)
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/Prize/IP.Rd_%03d_medium.png", width=480, height=480)
> ### Name: IP
> ### Title: Individual priority (IP) slot
> ### Aliases: IP Ip ip IP,ANY-method
> 
> ### ** 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')
> 
> # Aggregation of individual judgements
> res <- gaggregate(srcfile = mat, method = 'geometric', simulation = 500)
Reading individual judgements.
Aggregating individual judgements with geometric mean (AIJ).
Computing group consistency ratio (GCR).
Computing consensus index (CI).
> IP(res)
                Tumor_expression Normal_expression  Frequency   Epitopes
ind1                   0.4915181         0.3058879 0.12487821 0.07771583
ind2                   0.3060687         0.4949012 0.12868606 0.07034399
ind3                   0.4627138         0.3271881 0.13574662 0.07435149
ind4                   0.6208484         0.2414021 0.07368481 0.06406465
Group judgement        0.4697298         0.3406738 0.11600194 0.07359445
> 
> # Aggregation of individual priorities
> res <- gaggregate(srcfile = mat, method = 'arithmetic', simulation = 500)
Reading individual judgements.
Aggregating individual priorities with arithmetic mean (AIP).
> IP(res)
                Tumor_expression Normal_expression  Frequency   Epitopes
ind1                   0.4915181         0.3058879 0.12487821 0.07771583
ind2                   0.3060687         0.4949012 0.12868606 0.07034399
ind3                   0.4627138         0.3271881 0.13574662 0.07435149
ind4                   0.6208484         0.2414021 0.07368481 0.06406465
Group judgement        0.4702873         0.3423448 0.11574892 0.07161899
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>