Пакет: r-cran-factominer (2.4-1)

[ 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: r-api-4.0

  виртуальный пакет, предоставляемый r-base-core

• dep: r-base-core (>= 4.0.3-1)

  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-dt

  GNU R wrapper of the JavaScript library 'DataTables'

• 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

• sug: r-cran-markdown

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

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