data400x15 | R Documentation |
\times
15 DataData 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.
data(data400x15)
A data frame with 400 rows and 16 columns:
object name
ranking on the first attribute
ranking on the second attribute
ranking on the third attribute
ranking on the fourth attribute
ranking on the fifth attribute
ranking on the sixth attribute
ranking on the seventh attribute
ranking on the eigth attribute
ranking on the ninth attribute
ranking on the tenth attribute
ranking on the eleventh attribute
ranking on the twelfth attribute
ranking on the thirteenth attribute
ranking on the fourteenth attribute
ranking on the fifteenth attribute
Badal, P. S., & Das, A. (2018). Efficient algorithms using subiterative convergence for Kemeny ranking problem. Computers & Operations Research, 98, 198-210. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.cor.2018.06.007")}
data(data400x15)
input_rkgs <- t(as.matrix(data400x15[, -1]))
obj_names <- data400x15[,1]
# Determine the mean seed ranking
mean_seed(input_rkgs)
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