Description Details Author(s) See Also Examples
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.
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()
.
Michel Semenou
Maintainer: <michel.semenou@oniris-nantes.fr>
EstimBradley
, ResSimulLvrRatio
, Piplot
1 2 3 4 5 6 7 |
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
***** Bradley's scores******
[,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
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