软件包：r-cran-factominer（2.11-1） [debports]
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.
其他与 r-cran-factominer 有关的软件包
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- dep: libc6 (>= 2.1.3)
- GNU C 语言运行库：共享库
同时作为一个虚包由这些包填实： libc6-udeb
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- dep: r-api-4.0
- 本虚包由这些包填实： r-base-core
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- dep: r-cran-car
- GNU R Companion to Applied Regression by John Fox
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- dep: r-cran-cluster
- GNU R package for cluster analysis by Rousseeuw et al
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- dep: r-cran-dt
- GNU R wrapper of the JavaScript library 'DataTables'
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- dep: r-cran-ellipse
- GNU R functions for drawing ellipses and ellipse-like confidence regions
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- dep: r-cran-emmeans
- GNU R estimated marginal means, aka least-squares means
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- dep: r-cran-flashclust
- Implementation of optimal hierarchical clustering
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- dep: r-cran-ggplot2
- implementation of the Grammar of Graphics
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- dep: r-cran-ggrepel
- auto-position non-overlapping text labels in plots
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- dep: r-cran-lattice
- GNU R package for 'Trellis' graphics
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- dep: r-cran-leaps
- Regression Subset Selection
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- dep: r-cran-mass
- GNU R package of Venables and Ripley's MASS
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- dep: r-cran-multcompview
- GNU R visualizations of paired comparisons
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- dep: r-cran-scatterplot3d
- GNU R package for Visualizing Multivariate Data
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- rec: r-cran-knitr
- GNU R package for dynamic report generation using Literate Programming
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- rec: r-cran-markdown
- GNU R package providing R bindings to the Sundown Markdown rendering library