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
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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'))

Peer review:

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 145 downloads 22 exports 1 dependencies

Last updated 4 months agofrom:9bff0afa0c. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 12 2024
R-4.5-winOKNov 12 2024
R-4.5-linuxOKNov 12 2024
R-4.4-winOKNov 12 2024
R-4.4-macOKNov 12 2024
R-4.3-winOKNov 12 2024
R-4.3-macOKNov 12 2024

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

Detlef Groth, University of Potsdam, Germany

Rendered fromtutorial.Rmdusingknitr::rmarkdownon Nov 12 2024.

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