codecov[bot]
commented
5 months ago Codecov Report
Attention: Patch coverage is 42.03276% with 1557 lines in your changes missing coverage. Please review.
Project coverage is 47.83%. Comparing base (
c21aae0) to head (92759e3). Report is 5 commits behind head on main.:exclamation: Current head 92759e3 differs from pull request most recent head 36b175e
Please upload reports for the commit 36b175e to get more accurate results.
| Files | Patch % | Lines |
|---|---|---|
| R/manynet-defunct.R | 0.00% | 259 Missing :warning: |
| R/map_autograph.R | 32.62% | 223 Missing :warning: |
| R/measure_centrality.R | 61.67% | 128 Missing :warning: |
| R/measure_diffusion.R | 7.97% | 127 Missing :warning: |
| R/class_members.R | 5.00% | 114 Missing :warning: |
| R/measure_features.R | 44.51% | 86 Missing :warning: |
| R/motif_census.R | 65.27% | 75 Missing :warning: |
| R/manip_as.R | 0.00% | 71 Missing :warning: |
| R/class_measures.R | 31.52% | 63 Missing :warning: |
| R/member_community.R | 47.91% | 50 Missing :warning: |
| ... and 29 more |
Additional details and impacted files
```diff @@ Coverage Diff @@ ## main #69 +/- ## ========================================== - Coverage 48.40% 47.83% -0.57% ========================================== Files 27 50 +23 Lines 3551 5740 +2189 ========================================== + Hits 1719 2746 +1027 - Misses 1832 2994 +1162 ```:umbrella: View full report in Codecov by Sentry.
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Description
Package
{manynet}logo with stocnet GitHub address and color blind safe colorway{minMse}dependencynetwork_*prefix tonet_*for conciseness{migraph}{migraph}Making
create_core()where the membership inferred when passing an existing network was incorrectgenerate_configuration()for generating configuration models (including for two-mode networks)play_diffuson()now includes an explicit contact argument to control the basis of exposureMarking
node_is_*()functions now infer network data contextnode_is_independent()for identifying nodes among largest independent setsis_multiplex()now excludes reserved tie attribute names other than type, such as "weight", "sign", or "wave"is_attributed()to check for non-name nodal attributesnode_is_latent(),node_is_recovered(), andnode_is_infected()(closes #71)is_twomode(),is_labelled(), andis_complex()Mapping
graphr(),graphs(), andgrapht()(autographr(),autographs(), andautographd()are now deprecated)scale_size(range = c(...,...))to be usedscale_size()from{ggplot2}graphr()now rescales node size depending on network size (closes #51)Modifying
as_diff_model()where events were out of order and namedto_correlation()that implements pairwise correlation on networkarrange_ties()for{dplyr}-like reordering of ties based on some attributeto_named()now randomly generates and adds an alphabetic sequence of names, where previously this was just a random sample, which may assist pedagogical useMarking
is_multiplex()now recognises "date", "begin", and "end" as reservedMeasuring
{migraph}node_degree(),node_deg(),node_indegree(),node_outdegree(),node_multidegree(),node_posneg(),tie_degree(),net_degree(),net_indegree(), andnet_outdegree()node_betweenness(),node_induced(),node_flow(),tie_betweenness(), andnet_betweenness()node_closeness(),node_reach(),node_harmonic(),node_information(),tie_closeness(),net_closeness(),net_reach(), andnet_harmonic()node_eigenvector(),node_power(),node_alpha(),node_pagerank(),tie_eigenvector(), andnet_eigenvector()net_reciprocity(),node_reciprocity(),net_transitivity(),node_transitivity(),net_equivalency(), andnet_congruency()net_density(),net_components(),net_cohesion(),net_adhesion(),net_diameter(),net_length(), andnet_independence()net_transmissibility(),net_recovery(),net_reproduction(),net_immunity(),net_hazard(),net_infection_complete(),net_infection_total(),net_infection_peak(),node_adoption_time(),node_thresholds(),node_recovery(), andnode_exposure()net_richness(),node_richness(),net_diversity(),node_diversity(),net_heterophily(),node_heterophily(),net_assortativity(), andnet_spatial()net_reciprocity(),net_connectedness(),net_efficiency(), andnet_upperbound()node_bridges(),node_redundancy(),node_effsize(),node_efficiency(),node_constraint(),node_hierarchy(),node_eccentricity(),node_neighbours_degree(), andtie_cohesion()net_core(),net_richclub(),net_factions(),node_partition(),net_modularity(),net_smallworld(),net_scalefree(),net_balance(),net_change(), andnet_stability()node_mode()(deprecated) to node_is_mode() since it returns a logical vectornode_attribute()andtie_attribute()to return measures when the output is numericnode_exposure()to work with two-mode and signed networksMembers
{migraph}node_in_roulette()node_in_optimal(),node_in_partition(),node_in_infomap(),node_in_spinglass(),node_in_fluid(),node_in_louvain(),node_in_leiden(),node_in_betweenness(),node_in_greedy(),node_in_eigen(), andnode_in_walktrap()node_in_component(),node_in_weak(), andnode_in_strong()node_is_core()andnode_coreness()node_in_adopter()node_in_equivalence(),node_in_structural(),node_in_regular(), andnode_in_automorphic()node_*(), but including the preposition_in_is more consistent.Motifs
{migraph}, these includenode_by_tie(),node_by_triad(),node_by_quad(),node_by_path(),net_by_dyad(),net_by_triad(),net_by_mixed(),node_by_brokerage(),net_by_brokerage()*_*_census(), but the preposition_by_is more consistent.Methods
{migraph}cluster_hierarchical()andcluster_concor()k_strict(),k_elbow(), andk_silhouette()Data
ison_greysdataset, including some corrections to that published in{networkdata}ison_friendsdataset to be explicitly longitudinalison_usstatesdataset with population data (Alaska and Hawaii missing)ison_southern_womendataset with surnames, titles, event dates, and corrected tiesChecklist: