Calculate the maximal and minimal rank possible for each node
in any ranking that is in accordance with the partial ranking `P`

.

rank_intervals(P)

P | A partial ranking as matrix object calculated with neighborhood_inclusion or positional_dominance. |
---|

A data frame with the minimal, maximal rank of each node together with the mid point of the two extrema.

Note that the returned `mid_point`

is not the same as the expected
rank, for instance computed with exact_rank_prob.
It is simply the average of `min_rank`

and `max_rank`

. For exact rank probabilities
use exact_rank_prob.

plot_rank_intervals, exact_rank_prob

P <- matrix(c(0,0,1,1,1,0,0,0,1,0,0,0,0,0,1,rep(0,10)),5,5,byrow=TRUE) rank_intervals(P)#> min_rank max_rank mid_point #> 1 1 2 1.5 #> 2 1 4 2.5 #> 3 2 4 3.0 #> 4 3 5 4.0 #> 5 3 5 4.0