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Paketti: r-cran-factominer (2.4-2)

Multivariate Exploratory Data Analysis and Data Mining

Exploratory data analysis methods to summarize, visualize and describe datasets. The main principal component methods are available, those with the largest potential in terms of applications: principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, Multiple Factor Analysis when variables are structured in groups, etc. and hierarchical cluster analysis.

Muut pakettiin r-cran-factominer liittyvät paketit

  • depends
  • recommends
  • suggests
  • rec: r-cran-knitr
    GNU R package for dynamic report generation using Literate Programming
  • rec: r-cran-markdown
    GNU R package providing R bindings to the Sundown Markdown rendering library

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