Package: SemNeT 2.0.0

SemNeT: Methods and Measures for Semantic Network Analysis

Implements several functions for the analysis of semantic networks including different network estimation algorithms, partial node bootstrapping (Kenett, Anaki, & Faust, 2014 <doi:10.3389/fnhum.2014.00407>), random walk simulation (Kenett & Austerweil, 2016 <http://alab.psych.wisc.edu/papers/files/Kenett16CreativityRW.pdf>), and a function to compute global network measures. Significance tests and plotting features are also implemented.

Authors:Alexander P. Christensen [aut, cre], Yoed N. Kenett [aut, ctb]

SemNeT_2.0.0.tar.gz
SemNeT_2.0.0.zip(r-4.7-x86_64)SemNeT_2.0.0.zip(r-4.7-arm64)SemNeT_2.0.0.zip(r-4.6-x86_64)SemNeT_2.0.0.zip(r-4.6-arm64)SemNeT_2.0.0.zip(r-4.5-x86_64)
SemNeT_2.0.0.tgz(r-4.6-x86_64)SemNeT_2.0.0.tgz(r-4.6-arm64)SemNeT_2.0.0.tgz(r-4.5-x86_64)SemNeT_2.0.0.tgz(r-4.5-arm64)
SemNeT_2.0.0.tar.gz(r-4.7-arm64)SemNeT_2.0.0.tar.gz(r-4.7-x86_64)SemNeT_2.0.0.tar.gz(r-4.6-arm64)SemNeT_2.0.0.tar.gz(r-4.6-x86_64)
SemNeT_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SemNeT/json (API)

# Install 'SemNeT' in R:

install.packages('SemNeT', repos = c('https://alexchristensen.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/alexchristensen/semnet/issues

Datasets:

animals.freq - Frequency of Animal Responses
net.high - High Openness to Experience Network
net.low - Low Openness to Experience Network
one.result - Simulated Result for Dataset One
open.binary - Binary response Matrices
open.clean - Cleaned response Matrices
open.group - Groups for Openness and Verbal Fluency
two.result - Simulated Result for Dataset One and Two
vignette.plots - Plots for Vignette

On CRAN:

semantic-network-analysis

5.05 score 28 stars 40 scripts 679 downloads 1 mentions 41 exports 129 dependencies

Last updated from:92f86681ef. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	176
linux-devel-x86_64	OK	273
source / vignettes	OK	228
linux-release-arm64	OK	231
linux-release-x86_64	OK	287
macos-release-arm64	OK	217
macos-release-x86_64	OK	435
macos-oldrel-arm64	OK	199
macos-oldrel-x86_64	OK	384
windows-devel-arm64	OK	308
windows-devel-x86_64	OK	223
windows-release-arm64	OK	342
windows-release-x86_64	OK	236
windows-oldrel-x86_64	OK	228
wasm-release	OK	153

Exports:aspl ASPL bootSemNeT bootstrap_SemNeT bootstrap_test_SemNeT cc CC cn CN compare_nets compare_networks convert2cytoscape convert2igraph equate finalize find_textcleaner_objects forward_flow nrw NRW permutation_SemNeT pf PF q Q randnet.test random_network_test random_walk randwalk read_uploaded_file response_analysis response.analysis responses_to_binary semantic_network_measures semnetmeas SemNeTShiny sim.fluency similarity simulate_fluency test.bootSemNeT tmfg TMFG

Dependencies:abind backports base64enc boot broom bslib cachem car carData checkmate cli cluster codetools colorspace corpcor cowplot cpp11 data.table DBI Deriv digest doBy dplyr effects estimability evaluate farver fastmap fdrtool fontawesome forecast foreign Formula fracdiff fs future future.apply generics ggplot2 glasso globals glue GPArotation gridExtra gtable gtools highr Hmisc htmlTable htmltools htmlwidgets igraph insight isoband jpeg jquerylib jsonlite knitr labeling lattice lavaan lifecycle listenv lme4 lmtest magrittr MASS Matrix MatrixModels memoise mgcv mime minqa mitools mnormt modelr nlme nloptr nnet numDeriv parallelly pbapply pbivnorm pbkrtest pillar pkgconfig plyr png progressr psych purrr qgraph quadprog quantreg R6 rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas reshape2 rlang rmarkdown rpart rstudioapi S7 sass scales SparseM stringi stringr survey survival tibble tidyr tidyselect timeDate tinytex urca utf8 vctrs viridisLite withr xfun yaml zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
SemNeT-package	SemNeT-package SemNeT
Frequency of Animal Responses	animals.freq
Average Shortest Path Length	ASPL aspl
Bootstrapped Semantic Network Analysis (Legacy)	bootSemNeT
Bootstrapped Semantic Network Analysis	bootstrap_SemNeT
Statistical Tests for 'bootstrap_SemNeT'	bootstrap_test_SemNeT
Clustering Coefficient	CC cc
Community Network Estimation	CN cn
Compare Graphs (Legacy)	compare_nets
Plot Networks for Comparison	compare_networks
Convert an Adjacency Matrix to Cytoscape Format	convert2cytoscape
Convert a Network to igraph's Format	convert2igraph
Equate Groups	equate
Finalize a Response Matrix	finalize
Find Usable 'textcleaner' Objects in the Global Environment	find_textcleaner_objects
Forward Flow	forward_flow
High Openness to Experience Network	net.high
Low Openness to Experience Network	net.low
Naive Random Walk Network Estimation	NRW nrw
Simulated Result for Dataset One	one.result
Binary response Matrices (Openness and Verbal Fluency)	open.binary
Cleaned response Matrices (Openness and Verbal Fluency)	open.clean
Groups for Openness and Verbal Fluency	open.group
Permutation Test for Network Measures	permutation_SemNeT
Pathfinder Network	PF pf
Plot for 'bootSemNeT' (Legacy)	plot.bootSemNeT
Plot for 'bootstrap_SemNeT'	plot.bootstrap_SemNeT
Modularity	Q q
Random Network Test (Legacy)	randnet.test
Test Against Random Networks	random_network_test
Random Walk Simulation	random_walk
Random Walk Simulation (Legacy)	randwalk
Read a Response or Group File in Any Supported Format	read_uploaded_file
Response Analysis	response_analysis
Response Pattern Analysis (Legacy)	response.analysis
Convert Raw Responses to a Binary Response Matrix	responses_to_binary
Semantic Network Measures	semantic_network_measures
Semantic Network Measures (Legacy)	semnetmeas
Shiny App for 'SemNeT'	SemNeTShiny
Simulate Verbal Fluency Data (Legacy)	sim.fluency
Measures of Similarity	similarity
Simulate a Verbal Fluency Binary Response Matrix	simulate_fluency
Statistical Tests for 'bootSemNeT' (Legacy)	test.bootSemNeT
Triangulated Maximally Filtered Graph	TMFG tmfg
Simulated Result for Dataset One and Two	two.result
Plots for Vignette	vignette.plots