Package: snha 0.2.1

snha: Creating Correlation Networks using St. Nicolas House Analysis

Create correlation networks using St. Nicolas House Analysis ('SNHA'). The package can be used for visualizing multivariate data similar to Principal Component Analysis or Multidimensional Scaling using a ranking approach. In contrast to 'MDS' and 'PCA', 'SNHA' uses a network approach to explore interacting variables. For details see 'Hermanussen et. al. 2021', <doi:10.3390/ijerph18041741>.

Authors:Detlef Groth

snha_0.2.1.tar.gz
snha_0.2.1.zip(r-4.5)snha_0.2.1.zip(r-4.4)snha_0.2.1.zip(r-4.3)
snha_0.2.1.tgz(r-4.5-any)snha_0.2.1.tgz(r-4.4-any)snha_0.2.1.tgz(r-4.3-any)
snha_0.2.1.tar.gz(r-4.5-noble)snha_0.2.1.tar.gz(r-4.4-noble)
snha_0.2.1.tgz(r-4.4-emscripten)snha_0.2.1.tgz(r-4.3-emscripten)
snha.pdf |snha.html
snha/json (API)
NEWS

# Install 'snha' in R:
install.packages('snha', repos = c('https://mittelmark.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mittelmark/snha/issues

Datasets:
  • decathlon88 - Men Decathlon data from the 1988 Olympics

On CRAN:

correlation-analysisnetworknetwork-analysisnetwork-reconstruction

4.78 score 6 stars 7 scripts 151 downloads 22 exports 1 dependencies

Last updated 7 months agofrom:9bff0afa0c. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 10 2025
R-4.5-winOKFeb 10 2025
R-4.5-macOKFeb 10 2025
R-4.5-linuxOKFeb 10 2025
R-4.4-winOKFeb 10 2025
R-4.4-macOKFeb 10 2025
R-4.3-winOKFeb 10 2025
R-4.3-macOKFeb 10 2025

Exports:as.list.snhamgraphmgraph_accuracymgraph_autonamesmgraph_d2umgraph_degreemgraph_lmcmgraph_lmsmgraph_ndmgraph_nodeColorsmgraph_trfmgraph_u2dplot.mgraphplot.snhasnhasnha_corrplotsnha_get_chainssnha_graph2datasnha_layoutsnha_llsnha_misnha_rsquare

Dependencies:MASS

Tutorial on the snha package

Rendered fromtutorial.Rmdusingknitr::rmarkdownon Feb 10 2025.

Last update: 2023-09-04
Started: 2023-02-12