Man pages for SemNeT
Methods and Measures for Semantic Network Analysis
| animals.freq | Frequency of Animal Responses |
| ASPL | Average Shortest Path Length |
| bootSemNeT | Bootstrapped Semantic Network Analysis |
| CC | Clustering Coefficient |
| CN | Community Network Estimation |
| compare_nets | Plots Networks for Comparison |
| convert2cytoscape | Convert Adjacency Matrix to Cytoscape Format |
| convert2igraph | Convert Network(s) to igraph's Format |
| equate | Equate Groups |
| finalize | Finalize Response Matrix |
| net.high | High Openness to Experience Network |
| net.low | Low Openness to Experience Network |
| NRW | Naive Random Walk Network Estimation |
| one.result | Simulated Result for Dataset One |
| open.binary | Binary response Matrices (Openness and Verbal Fluency) |
| open.clean | Cleaned response Matrices (Openness and Verbal Fluency) |
| open.group | Groups for Openness and Verbal Fluency |
| PF | Pathfinder Network |
| plot.animateShiny | Animate Networks for Spreading Activation from Shiny |
| plot.bootSemNeT | Plot for bootSemNeT |
| plot.compareShiny | Plots Networks for Comparison from Shiny |
| Q | Modularity |
| randnet.test | Test Against Random Networks |
| randwalk | Random Walk Simulation |
| response.analysis | Response Analysis |
| semnetmeas | Semantic Network Measures |
| SemNeT-package | SemNeT-package |
| SemNeTShiny | Shiny App for 'SemNeT' |
| sim.fluency | Simulates a verbal fluency binary response matrix |
| similarity | Measures of Similarity |
| test.bootSemNeT | Statistical tests for 'bootSemNeT' |
| TMFG | Triangulated Maximally Filtered Graph |
| two.result | Simulated Result for Dataset One and Two |
| vignette.plots | Plots for Vignette |
