three.mode: Fitted version of the toy datas data set, with three modal...

In RMallow: Fit Multi-Modal Mallows' Models to Ranking Data

Description

The data has 3 modal sequences, and we can compare this to the two.mode data set.

Format

The format is: List of 5 $ R :List of 3 ..$ : int [1:15] 1 2 3 4 5 6 7 8 9 10 ... ..$ : int [1:15] 1 3 5 7 9 2 4 6 8 10 ... ..$ : int [1:15] 15 14 13 12 11 10 9 8 7 6 ... $ p : num [1:3] 0.447 0.118 0.435 $ lambda : num [1:3] 2.01 1000 2.04 $ datas :'data.frame': 1700 obs. of 23 variables: ..$ X1 : num [1:1700] 1 15 1 15 15 12 10 4 1 15 ... ..$ X2 : num [1:1700] 2 14 2 14 14 13 13 12 2 14 ... ..$ X3 : num [1:1700] 3 13 3 13 13 2 4 6 3 13 ... ..$ X4 : num [1:1700] 4 12 4 12 12 8 7 1 4 12 ... ..$ X5 : num [1:1700] 5 11 5 11 11 9 14 5 5 11 ... ..$ X6 : num [1:1700] 6 10 6 10 10 1 8 10 6 10 ... ..$ X7 : num [1:1700] 7 9 7 9 9 15 1 13 7 9 ... ..$ X8 : num [1:1700] 8 8 8 8 8 10 9 9 8 8 ... ..$ X9 : num [1:1700] 9 7 9 7 7 6 5 14 9 7 ... ..$ X10 : num [1:1700] 10 6 10 6 6 11 11 8 10 6 ... ..$ X11 : num [1:1700] 11 5 11 5 5 3 15 2 11 5 ... ..$ X12 : num [1:1700] 12 4 12 4 4 14 12 11 12 4 ... ..$ X13 : num [1:1700] 13 3 13 3 3 7 2 7 13 3 ... ..$ X14 : num [1:1700] 14 2 14 2 2 5 3 15 14 2 ... ..$ X15 : num [1:1700] 15 1 15 1 1 4 6 3 15 1 ... ..$ clust : int [1:1700] 1 3 1 3 3 3 3 1 1 3 ... ..$ pvals.1: num [1:1700] 1.00 1.03e-91 1.00 2.04e-93 1.03e-91 ... ..$ pvals.2: num [1:1700] 0 0 0 0 0 0 0 0 0 0 ... ..$ pvals.3: num [1:1700] 1.02e-92 1.00 1.34e-93 1.00 1.00 ... ..$ seq : Factor w/ 3 levels "1 2 3 4 5 6 7 8 9 10 11 12 13 14 15",..: 1 3 1 3 3 3 3 1 1 3 ... ..$ dists.1: num [1:1700] 0 105 0 105 105 61 58 46 0 105 ... ..$ dists.2: num [1:1700] 10 95 10 95 95 61 54 54 10 95 ... ..$ dists.3: num [1:1700] 105 0 105 0 0 44 47 59 105 0 ... $ min.like: num [1:100] -122710 -51439 -50310 -49976 -49718 ...

Examples

data(three.mode)
head(three.mode[[4]])

RMallow documentation built on Feb. 7, 2020, 9:06 a.m.