Correspondence analysis (CA) is a popular method that can be used to analyse rela- tionships between categorical variables. Like principal component analysis, CA solutions can be rotated both orthogonally and obliquely to simple structure without affecting the total amount of explained inertia. We describe a MATLAB package for computing CA. The package includes orthogonal and oblique rotation of axes. It is designed not only for advanced users of MATLAB but also for beginners. Analysis can be done using a user-friendly interface, or by using command lines. We illustrate the use of CAR with one example
AbstractCorrespondence Analysis (CA) is a statistical exploratory technique frequently used in many ...
Correspondence analysis (CA) is popular method for providing a graphical summary of the association ...
This paper presents the R package anacor for the computation of simple and canonical correspondence ...
Correspondence analysis (CA) is a popular method that can be used to analyse relationships between c...
Correspondence analysis (CA) is a popular method that can be used to analyse relationships between c...
Correspondence analysis ( CA) is a popular method that can be used to analyse relationships between ...
Correspondence analysis ( CA) is a popular method that can be used to analyse relationships between ...
Correspondence analysis (CA) is a popular method that can be used to analyze relationships between c...
In this paper we present the toolbox MultipleCar, which was designed using a graphical user interfa...
In correspondence analysis rows and columns of a nonnegative data matrix are depicted as points in a...
International audienceKiers (1991) considered the orthogonal rotation in PCAMIX, a principal compone...
We describe an implementation of simple, multiple and joint correspondence analysis in R. The result...
This paper presents a description of the R package CAvariants. It performs six variants of correspon...
Correspondence Analysis (CA) is a statistical exploratory technique frequently used in many research...
The generalization of simple correspondence analysis, for two categorical variables, to multiple cor...
AbstractCorrespondence Analysis (CA) is a statistical exploratory technique frequently used in many ...
Correspondence analysis (CA) is popular method for providing a graphical summary of the association ...
This paper presents the R package anacor for the computation of simple and canonical correspondence ...
Correspondence analysis (CA) is a popular method that can be used to analyse relationships between c...
Correspondence analysis (CA) is a popular method that can be used to analyse relationships between c...
Correspondence analysis ( CA) is a popular method that can be used to analyse relationships between ...
Correspondence analysis ( CA) is a popular method that can be used to analyse relationships between ...
Correspondence analysis (CA) is a popular method that can be used to analyze relationships between c...
In this paper we present the toolbox MultipleCar, which was designed using a graphical user interfa...
In correspondence analysis rows and columns of a nonnegative data matrix are depicted as points in a...
International audienceKiers (1991) considered the orthogonal rotation in PCAMIX, a principal compone...
We describe an implementation of simple, multiple and joint correspondence analysis in R. The result...
This paper presents a description of the R package CAvariants. It performs six variants of correspon...
Correspondence Analysis (CA) is a statistical exploratory technique frequently used in many research...
The generalization of simple correspondence analysis, for two categorical variables, to multiple cor...
AbstractCorrespondence Analysis (CA) is a statistical exploratory technique frequently used in many ...
Correspondence analysis (CA) is popular method for providing a graphical summary of the association ...
This paper presents the R package anacor for the computation of simple and canonical correspondence ...