Package: Numero 1.9.8
Ville-Petteri Makinen
Numero: Statistical Framework to Define Subgroups in Complex Datasets
High-dimensional datasets that do not exhibit a clear intrinsic clustered structure pose a challenge to conventional clustering algorithms. For this reason, we developed an unsupervised framework that helps scientists to better subgroup their datasets based on visual cues, please see Gao S, Mutter S, Casey A, Makinen V-P (2019) Numero: a statistical framework to define multivariable subgroups in complex population-based datasets, Int J Epidemiology, 48:369-37, <doi:10.1093/ije/dyy113>. The framework includes the necessary functions to construct a self-organizing map of the data, to evaluate the statistical significance of the observed data patterns, and to visualize the results.
Authors:
Numero_1.9.8.tar.gz
Numero_1.9.8.tar.gz(r-4.5-noble)Numero_1.9.8.tar.gz(r-4.4-noble)
Numero_1.9.8.tgz(r-4.4-emscripten)Numero_1.9.8.tgz(r-4.3-emscripten)
Numero.pdf |Numero.html✨
Numero/json (API)
# Install 'Numero' in R: |
install.packages('Numero', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 months agofrom:671169ee52. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 17 2024 |
R-4.5-linux-x86_64 | OK | Dec 17 2024 |
Exports:nroAggregatenroColorizenroDestratifynroKmeansnroKohonennroLabelnroMatchnroPermutenroPlotnroPlot.savenroPostprocessnroPreprocessnroSummarynroTrainnumero.cleannumero.createnumero.evaluatenumero.plotnumero.preparenumero.qualitynumero.subgroupnumero.summary
Dependencies:Rcpp
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Regional averages on a self-organizing map | nroAggregate |
Assign colors based on value | nroColorize |
Mitigate data stratification | nroDestratify |
K-means clustering | nroKmeans |
Self-organizing map | nroKohonen |
Label pruning | nroLabel |
Best-matching districts | nroMatch |
Permutation analysis of map layout | nroPermute |
Plot a self-organizing map | nroPlot nroPlot.save |
Standardization using existing parameters | nroPostprocess |
Data cleaning and standardization | nroPreprocess |
Estimate subgroup statistics | nroSummary |
Train self-organizing map | nroTrain |
Clean datasets | numero.clean |
Create a self-organizing map | numero.create |
Self-organizing map statistics | numero.evaluate |
Plot results from SOM analysis | numero.plot |
Prepare datasets for analysis | numero.prepare |
Self-organizing map statistics | numero.quality |
Interactive subgroup assignment | numero.subgroup |
Summarize subgroup statistics | numero.summary |