Paket: r-cran-factominer (2.2-1)

Links für r-cran-factominer

Trisquel-Ressourcen:

Quellcode-Paket r-cran-factominer herunterladen:

Betreuer:

Debian R Packages Maintainers

Original Maintainers:

Debian R Packages Maintainers
Dylan Aïssi

Externe Ressourcen:

Homepage [cran.r-project.org]

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.

Andere Pakete mit Bezug zu r-cran-factominer

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dep: r-api-3.5

virtuelles Paket, bereitgestellt durch r-base-core
dep: r-base-core (>= 3.6.2-2)

GNU R core of statistical computation and graphics system
dep: r-cran-car

GNU R Companion to Applied Regression by John Fox
dep: r-cran-cluster

GNU R package for cluster analysis by Rousseeuw et al
dep: r-cran-ellipse

GNU R functions for drawing ellipses and ellipse-like confidence regions
dep: r-cran-flashclust

Implementation of optimal hierarchical clustering
dep: r-cran-ggplot2

implementation of the Grammar of Graphics
dep: r-cran-ggrepel

auto-position non-overlapping text labels in plots
dep: r-cran-lattice

GNU R package for 'Trellis' graphics
dep: r-cran-leaps

Regression Subset Selection
dep: r-cran-mass

GNU R package of Venables and Ripley's MASS
dep: r-cran-scatterplot3d

GNU R package for Visualizing Multivariate Data

rec: r-cran-knitr

GNU R package for dynamic report generation using Literate Programming

r-cran-factominer herunterladen

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