Description Usage Arguments Details Value Author(s) See Also Examples
The bipartite network from the interaction matrix is build, visualized and the basic network statistics are computed
1 |
mat.int |
Interaction matrix as matrix |
negative.values |
Defines if interaction matrix contains negative interactions. Default is set to TRUE. |
vcat |
A vector which contains the labels of the vertice categories. |
vcat.env.comps |
A vector which contains the vertice categories of the environmental components. |
vcat.actions |
A vector which contains the vertice categories of the actions. |
...
Two data frames. bas.stats
contains the results of the basic network statistic and deg
includes the weighted vertice degrees and mean degrees.
Robin Schwemmle robin.schwemmle@venus.uni-freiburg.de
assortativity_nominal
, degree_tm
, degree_w
, distance_tm
, distance_w
, clustering_tm
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | data('tallahala')
vcat <- c("Water", "Land", "Biology", "Socioeconomy", "Infrastructure")
vcat.env.comps <- c(1,1,1,1,2,2,1,1,2,2,3,3,3,3,3,3,3,4,4,4,4)
vcat.actions <- c(1,1,1,5,5,5,1,3,3,5)
visstats(tallahala, negative.values = TRUE, vcat = vcat, vcat.env.comps = vcat.env.comps,
vcat.actions = vcat.actions)
data('eastkarun')
vcat <- c("Water", "Land", "Biology", "Socioeconomy")
vcat.env.comps <- c(1,2,2,2,2,1,1,3,3,3,3,3,3,4,4,4,4,4,4,4)
vcat.actions <- c(1,1,1,3,1)
visstats(eastkarun, negative.values = TRUE, vcat = vcat, vcat.env.comps = vcat.env.comps,
vcat.actions = vcat.actions)
data('kladovo')
vcat <- c("Water", "Land", "Biology", "Socioeconomy", "Infrastructure")
vcat.env.comps <- c(1,2,2,2,2,2,3,3,3,3,3,2,2,4,4,4)
vcat.actions <- c(5,5,5,5,5,5,5,5,5)
visstats(kladovo, negative.values = FALSE, vcat = vcat, vcat.env.comps = vcat.env.comps,
vcat.actions = vcat.actions)
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