Tidy table of time-bin similarity
Usage
# S3 method for class 'dynet_similarity'
as.data.frame(x, row.names = NULL, optional = FALSE, ...)Arguments
- x
A result from
similarity().- row.names, optional
Ignored; present for compatibility with the generic.
- ...
Ignored.
Value
A plain data.frame, one row per ordered pair of time bins, with
columns time, other, measure and value.
Examples
dn <- dynet(school_contacts)
resemblance <- similarity(dn, step = 4, window = 4)
as.data.frame(resemblance)
#> time other measure value
#> 1 0 0 jaccard 1.00000000
#> 2 0 4 jaccard 0.17910448
#> 3 0 8 jaccard 0.15625000
#> 4 0 12 jaccard 0.14285714
#> 5 0 16 jaccard 0.10416667
#> 6 0 20 jaccard 0.09523810
#> 7 4 0 jaccard 0.17910448
#> 8 4 4 jaccard 1.00000000
#> 9 4 8 jaccard 0.33802817
#> 10 4 12 jaccard 0.26250000
#> 11 4 16 jaccard 0.15625000
#> 12 4 20 jaccard 0.06349206
#> 13 8 0 jaccard 0.15625000
#> 14 8 4 jaccard 0.33802817
#> 15 8 8 jaccard 1.00000000
#> 16 8 12 jaccard 0.31506849
#> 17 8 16 jaccard 0.11290323
#> 18 8 20 jaccard 0.10714286
#> 19 12 0 jaccard 0.14285714
#> 20 12 4 jaccard 0.26250000
#> 21 12 8 jaccard 0.31506849
#> 22 12 12 jaccard 1.00000000
#> 23 12 16 jaccard 0.20967742
#> 24 12 20 jaccard 0.13333333
#> 25 16 0 jaccard 0.10416667
#> 26 16 4 jaccard 0.15625000
#> 27 16 8 jaccard 0.11290323
#> 28 16 12 jaccard 0.20967742
#> 29 16 16 jaccard 1.00000000
#> 30 16 20 jaccard 0.20588235
#> 31 20 0 jaccard 0.09523810
#> 32 20 4 jaccard 0.06349206
#> 33 20 8 jaccard 0.10714286
#> 34 20 12 jaccard 0.13333333
#> 35 20 16 jaccard 0.20588235
#> 36 20 20 jaccard 1.00000000