# CompR-package: Paired Comparison Data Analysis In CompR: Paired Comparison Data Analysis

## Description

Different tools for describing and analysing paired comparison data are presented. Main methods are estimation of products scores according Bradley Terry Luce model. A segmentation of the individual could be conducted on the basis of a mixture distribution approach. The number of classes can be tested by the use of Monte Carlo simulations. This package deals also with multi-criteria paired comparison data.

## Details

 Package: CompR Type: Package Version: 1.0 Date: 2015-07-01 License: GPL-2 Depends: methods, MASS, stats, graphics, utils

Function to estimate products configurations (Bradley's scores) and weights of the
classes is `EstimBradley()`.

Function to perform a test concerning the number of classes is `ResSimulLvrRatio()`.

Function to obtain a graphical representation of Bradley's scores is `Piplot()`.

## Author(s)

Michel Semenou

Maintainer: <[email protected]>

`EstimBradley`, `ResSimulLvrRatio`, `Piplot`

## Examples

 ```1 2 3 4 5 6 7``` ```data(Cocktail) show(Cocktail) ResCock1<-EstimBradley(Cocktail,Constraint=0,Tcla=1,eps=0.001,eps1=0.001,TestPi=TRUE) show(ResCock1) Res_LvrRatio1<-ResSimulLvrRatio(Cocktail,ResCock1,0,3,level=0.05,eps=0.001,eps1=0.001) getSimu(Res_LvrRatio1) getTest(Res_LvrRatio1) ```

### Example output

```Loading required package: MASS

*** Class DatPairComp, method Show***

* Cons (limited to 10 individuals) =   1  2  3  4  5  6  7  8  9 10

*Crit =

*Prod (limited to 10 products) =  P1 P2 P3 P4 P5 P6 P7

*PairComp (for all criteria, limited to 4 individuals and 10 products) =

**********Crit =   ****************

1
P1 P2 P3 P4 P5 P6 P7
[1,]  0  0  0  0  0  0  0
[2,]  0  0  0  0  0  1  1
[3,]  1  0  0  0  0  0  0
[4,]  1  0  0  0  0  0  0
[5,]  0  0  0  1  0  1  0
[6,]  0  0  0  0  0  0  0
[7,]  0  0  1  0  0  0  0

2
P1 P2 P3 P4 P5 P6 P7
[1,]  0  0  0  0  0  0  0
[2,]  1  0  0  0  1  0  0
[3,]  0  0  0  0  0  1  0
[4,]  0  0  0  0  0  1  0
[5,]  0  0  1  0  0  0  0
[6,]  0  0  0  0  0  0  0
[7,]  1  0  0  1  0  0  0

3
P1 P2 P3 P4 P5 P6 P7
[1,]  0  0  0  0  0  0  0
[2,]  0  0  0  0  0  1  0
[3,]  1  0  0  0  0  0  0
[4,]  0  1  1  0  0  0  0
[5,]  1  0  0  0  0  0  0
[6,]  0  0  0  0  0  0  1
[7,]  0  0  0  0  1  0  0

4
P1 P2 P3 P4 P5 P6 P7
[1,]  0  0  1  0  0  0  0
[2,]  1  0  0  0  0  0  1
[3,]  0  0  0  0  1  0  0
[4,]  0  0  0  0  1  1  0
[5,]  0  0  0  0  0  0  0
[6,]  0  0  0  0  0  0  0
[7,]  0  0  0  0  0  1  0

*** Class BradleyEstim, method Show***

******Class 1 Weight =  1

[,1]
P1 0.01496032
P2 0.24273135
P3 0.08626979
P4 0.14300115
P5 0.22452892
P6 0.07012654
P7 0.21838201
TclaH0     LvrH0     LvrH1 LvrH1-LvrH0
[1,]      1 -420.6727 -413.3845    7.288171
[2,]      1 -439.5651 -438.1162    1.448861
[3,]      1 -406.7612 -402.7771    3.984059
Level Quantile
[1,]  0.05  6.95776
```

CompR documentation built on May 29, 2017, 2:42 p.m.