SemNeT-package |
SemNeT-package |
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 |
SemNeT |
SemNeT-package |
semnetmeas |
Semantic Network Measures |
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 |