| data100x15 {RankAggSIgFUR} | R Documentation |
Simulated 100 \times 15 Data
Description
Data of 100 objects and 15 attributes, in which the first column contains the object
names and each subsequent column is a complete ranking of the 100 objects. The
included 50 \times 15 and 400 \times 15 datasets were generated from this dataset (see
data50x15 and data400x15).
Usage
data(data100x15)
Format
A data frame with 100 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(data100x15)
input_rkgs <- t(as.matrix(data100x15[, -1]))
obj_names <- data100x15[,1]
# Determine the mean seed ranking
mean_seed(input_rkgs)