| data400x15 {RankAggSIgFUR} | R Documentation |
Simulated 400 \times 15 Data
Description
Data of 400 objects and 15 attributes in which the first column contains the object
names and each subsequent column is a complete ranking of the 400 objects. This
data set is generated from the 100 \times 15 dataset (see data50x15)
by adding 100 to the ranks of the objects numbered 1 through 100 to get the ranks of
objects numbered 101 through 200. Similarly, by adding 200 to obtain ranking 201
through 300, and by adding 300 to obtain ranking 301 through 400.
Usage
data(data400x15)
Format
A data frame with 400 rows and 16 columns:
- Objects
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(data400x15)
input_rkgs <- t(as.matrix(data400x15[, -1]))
obj_names <- data400x15[,1]
# Determine the mean seed ranking
mean_seed(input_rkgs)