Пакет: r-cran-factominer (2.11-1)

[ Источник: r-cran-factominer  ]

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.

Другие пакеты, относящиеся к r-cran-factominer

• dep: libc6 (>= 2.1.3)

  библиотека GNU C: динамически подключаемые библиотеки
  также виртуальный пакет, предоставляемый libc6-udeb

• dep: r-api-4.0

  виртуальный пакет, предоставляемый r-base-core

• 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-dt

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• dep: r-cran-ellipse

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• dep: r-cran-emmeans

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• dep: r-cran-flashclust

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• dep: r-cran-ggplot2

  implementation of the Grammar of Graphics

• dep: r-cran-ggrepel

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• dep: r-cran-lattice

  GNU R package for 'Trellis' graphics

• dep: r-cran-leaps

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• dep: r-cran-mass

  GNU R package of Venables and Ripley's MASS

• dep: r-cran-multcompview

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• dep: r-cran-scatterplot3d

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• rec: r-cran-knitr

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• rec: r-cran-markdown

  GNU R package providing R bindings to the Sundown Markdown rendering library

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