International audienceIn 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 informatio(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, graphical user interface is implemented within the Rcmdr environme...
If book publication is a reliable indicator of the state of statistical software, then R and to a le...
Key words:regression analysis model;statistics with R; linear Abstract:Multiple regression analysis ...
This book offers readers an accessible introduction to the world of multivariate statistics in the l...
In this article, we present FactoMineR an R package dedicated to multivariate data analysis. The mai...
Modern tools for R, an open source "statistical" language, include various routines for Multidimensi...
In a series of papers de Leeuw developed a general framework for multivariate analysis with optimal ...
Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example U...
An introduction to data visualization that focuses on the explorative analysis of multivariate (tabu...
<p>mdatools is an R package for preprocessing, exploring and analysis of multivariate data. The pack...
Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which...
International audienceMixed data type arise when observations are described by a mixture of numerica...
Mixed data arise when observations are described by a mixture of numerical and categorical variables...
Abstract: Introduction: R is a statistical and graphics language and environment. Although it is ext...
In the paper we present an R package MNM dedicated to multivariate data analysis based on the L1 nor...
The R package micompr implements a procedure for assessing if two or more multivariate samples are ...
If book publication is a reliable indicator of the state of statistical software, then R and to a le...
Key words:regression analysis model;statistics with R; linear Abstract:Multiple regression analysis ...
This book offers readers an accessible introduction to the world of multivariate statistics in the l...
In this article, we present FactoMineR an R package dedicated to multivariate data analysis. The mai...
Modern tools for R, an open source "statistical" language, include various routines for Multidimensi...
In a series of papers de Leeuw developed a general framework for multivariate analysis with optimal ...
Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example U...
An introduction to data visualization that focuses on the explorative analysis of multivariate (tabu...
<p>mdatools is an R package for preprocessing, exploring and analysis of multivariate data. The pack...
Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which...
International audienceMixed data type arise when observations are described by a mixture of numerica...
Mixed data arise when observations are described by a mixture of numerical and categorical variables...
Abstract: Introduction: R is a statistical and graphics language and environment. Although it is ext...
In the paper we present an R package MNM dedicated to multivariate data analysis based on the L1 nor...
The R package micompr implements a procedure for assessing if two or more multivariate samples are ...
If book publication is a reliable indicator of the state of statistical software, then R and to a le...
Key words:regression analysis model;statistics with R; linear Abstract:Multiple regression analysis ...
This book offers readers an accessible introduction to the world of multivariate statistics in the l...