[ 源代码: r-cran-factominer ]
软件包:r-cran-factominer(2.4-1)
r-cran-factominer 的相关链接
Debian 的资源:
下载源码包 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]
维护小组:
外部的资源:
- 主页 [cran.r-project.org]
相似软件包:
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.
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