View source: R/perm.ds.focal.R
| perm.ds.focal | R Documentation | 
Warning, the original function (Farine 2017) uses a control factor, the number of focals and the ids of the focals.
perm.ds.focal( df, focal, ctrl = NULL, alters, nperm, progress = T, index = "sri" )
| df | a data frame. | 
| focal | an integer indicating the column of the focal. | 
| ctrl | a numeric vector indicating the control factors. | 
| alters | an integer indicating the column of focal's alters. | 
| nperm | an integer indicating the number of permutations. | 
| progress | a boolean indicating if the permutation process must be visible. | 
| index | a string indicating the association index to compute: 
 | 
Pre-network permutation for focal sampling data, and for symmetric behaviour only.
Farine, D. R. (2017). A guide to null models for animal social network analysis. Methods in ecology and evolution, 8(10), 1309-1320.
Sosa, S. (2018). Social Network Analysis, in: Encyclopedia of Animal Cognition and Behavior. Springer.
head(sim.focal.undirected) t=perm.ds.focal(sim.focal.undirected,focal=3,ctrl=1,alters=4,nperm=10,progress=TRUE,index='sri')
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