范畴变量
R包
计算机科学
多元统计
分拆(数论)
绘图
等级制度
统计图形
探索性数据分析
数据挖掘
多元分析
数学
程序设计语言
机器学习
计算机图形学(图像)
市场经济
组合数学
经济
作者
Sébastien Lê,Julie Josse,François Husson
标识
DOI:10.18637/jss.v025.i01
摘要
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.
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