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All functions

Amoladeras_cover
Amoladeras cover data
Amoladeras_int
Amoladeras interaction data
RN_dims()
Basic network dimensions
RN_heatmap()
Visualize a heatmap of the interactions matrix.
RN_to_matrix()
Convert field data to matrix format
accum_curve()
Accumulation curve of network dimensions
associndex()
Calculate different association indices considering different interaction types.
canopy_service_test()
Identifies whether a species acts as depressing, enhancing or neutral
check_cover()
Check cover data format
check_interactions()
Check interaction data format
comm_subset()
Subset data from one study site
comm_to_RN()
Combine cover data with interaction data.
download_RN()
Download RecruitNet database from Zenodo
funtopol_rec()
Species functional role in the general recruitment network
int_significance()
Statistical significance of interactions
link_completeness()
Estimates the completeness and coverage of the sampled interactions
load_cover()
Load canopy cover data from RecruitNet database
load_interactions()
Load interaction data from RecruitNet database
node_degrees()
Calculate width of canopy service and recruitment niches
node_topol()
calculates eigenvector centrality and the two measures of extended niche.
recruitment_niche_test()
Recruitment niche: community-level effects on species recruitment
remove_no_cover()
Remove species with no cover data
test_data
Test data
topol_depre()
Summary and node-based information of species in loops and simple paths
topol_fac()
summary and node-based information of species in loops and simple paths
visu_funtopol_rec()
visualize the functional topology of general recruitment networks
visu_net()
Graph of nodes and interactions
visu_topol_depre()
Allow the visualization of intransitivity loops of recruitment depression
visu_topol_fac()
Allow the visualization of reciprocal facilitation