FactoMineR: An R package for multivariate analysis
FactoMineR: An R package for multivariate analysis
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DOI：
10.18637/jss.v025.i01
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发表时间：
2008-03-01
影响因子：
5.8
通讯作者：
Husson, Francois
中科院分区：
文献类型：
--
作者：
Le, Sebastien;Josse, Julie;Husson, Francois
在本文中，我们介绍了FactoMineR，这是一个致力于多变量数据分析的R包。这一包的主要特点是可以考虑不同类型的变量(定量或分类)、数据的不同类型的结构(变量的划分、变量的层次、个人的划分)以及最后的补充信息(补充的个人和变量)。此外，从不同的探索性数据分析中得出的维度可以由定量和/或分类变量自动描述。此外，还提供多种不同选项的图形。最后，在RCMDR环境中实现了一个图形用户界面，以提出一个用户友好的程序包。
In this article, we present FactoMineR an R package dedicated to multivariate data analysis. The main features of this package is the possibility to take into account different types of variables (quantitative or categorical), different types of structure on the data (a partition on the variables, a hierarchy on the variables, a partition on the individuals) and finally supplementary information (supplementary individuals and variables). Moreover, the dimensions issued from the different exploratory data analyses can be automatically described by quantitative and/or categorical variables. Numerous graphics are also available with various options. Finally, a graphical user interface is implemented within the Rcmdr environment in order to propose an user friendly package.