| data50x15 {RankAggSIgFUR} | R Documentation |
Simulated 50 \times 15 Data
Description
Data of 50 objects and 15 attributes, which were randomly generated from the
100 \times 15 simulated dataset (see data100x15). The first column contains the object
names and each subsequent column is a complete ranking of the 50 objects.
Usage
data(data50x15)
Format
A data frame with 50 rows and 16 columns:
- Object
object name
- Ranking 1
ranking on the first attribute
- Ranking 2
ranking on the second attribute
- Ranking 3
ranking on the third attribute
- Ranking 4
ranking on the fourth attribute
- Ranking 5
ranking on the fifth attribute
- Ranking 6
ranking on the sixth attribute
- Ranking 7
ranking on the seventh attribute
- Ranking 8
ranking on the eigth attribute
- Ranking 9
ranking on the ninth attribute
- Ranking 10
ranking on the tenth attribute
- Ranking 11
ranking on the eleventh attribute
- Ranking 12
ranking on the twelfth attribute
- Ranking 13
ranking on the thirteenth attribute
- Ranking 14
ranking on the fourteenth attribute
- Ranking 15
ranking on the fifteenth attribute
Source
Badal, P. S., & Das, A. (2018). Efficient algorithms using subiterative convergence for Kemeny ranking problem. Computers & Operations Research, 98, 198-210. doi:10.1016/j.cor.2018.06.007
Examples
data(data50x15)
input_rkgs <- t(as.matrix(data50x15[, -1]))
obj_names <- data50x15[,1]
# Determine the mean seed ranking
mean_seed(input_rkgs)