[ 原始碼： r-cran-factominer ]
套件：r-cran-factominer（2.4-1）
r-cran-factominer 的相關連結
Debian 的資源：
下載原始碼套件 r-cran-factominer：
- [r-cran-factominer_2.4-1.dsc]
- [r-cran-factominer_2.4.orig.tar.gz]
- [r-cran-factominer_2.4-1.debian.tar.xz]
維護小組：
外部的資源：
- 主頁 [cran.r-project.org]
相似套件：
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.
其他與 r-cran-factominer 有關的套件
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- dep: r-api-4.0
- 本虛擬套件由這些套件填實： r-base-core
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- dep: r-base-core (>= 4.0.3-1)
- GNU R core of statistical computation and graphics system
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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-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-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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- sug: r-cran-markdown
- GNU R package providing R bindings to the Sundown Markdown rendering library