This paper presents a description of the R package CAvariants. It performs six variants of correspondence analysis on a two-way contingency table. The main function that shares the same name as the package - CAvariants - allows the user to choose (via a series of input parameters) from six different correspondence analysis procedures. These include the classical approach to (symmetrical) correspondence analysis, singly ordered correspondence analysis, doubly ordered correspondence analysis, non symmetrical correspondence analysis, singly ordered non symmetrical correspondence analysis and doubly ordered non symmetrical correspondence analysis. The code provides the flexibility for constructing either a classical correspondence plot o...
For an analysis of the association between two categorical variables that are cross-classified to f...
Correspondence analysis is a popular statistical technique used to identify graphically the presence...
Correspondence analysis is a versatile statistical technique that allows the user to graphically ide...
This paper presents a description of the R package CAvariants. It performs six variants of correspon...
This paper presents the R package CAvariants (Lombardo and Beh, 2017). The package performs six vari...
We describe an implementation of simple, multiple and joint correspondence analysis in R. The result...
Correspondence Analysis (CA) is a statistical exploratory technique frequently used in many research...
This paper presents the R package anacor for the computation of simple and canonical correspondence ...
AbstractCorrespondence Analysis (CA) is a statistical exploratory technique frequently used in many ...
The generalization of simple correspondence analysis, for two categorical variables, to multiple cor...
Correspondence analysis (CA) is popular method for providing a graphical summary of the association ...
Correspondence analysis (CA) is popular method for providing a graphical summary of the association ...
Correspondence Analysis (CA) is a statistical exploratory technique frequently used in many research...
Over the past few decades correspondence analysis has gained an international reputation as a powerf...
Over the past fewdecades correspondence analysis has gained an international reputation as a powerfu...
For an analysis of the association between two categorical variables that are cross-classified to f...
Correspondence analysis is a popular statistical technique used to identify graphically the presence...
Correspondence analysis is a versatile statistical technique that allows the user to graphically ide...
This paper presents a description of the R package CAvariants. It performs six variants of correspon...
This paper presents the R package CAvariants (Lombardo and Beh, 2017). The package performs six vari...
We describe an implementation of simple, multiple and joint correspondence analysis in R. The result...
Correspondence Analysis (CA) is a statistical exploratory technique frequently used in many research...
This paper presents the R package anacor for the computation of simple and canonical correspondence ...
AbstractCorrespondence Analysis (CA) is a statistical exploratory technique frequently used in many ...
The generalization of simple correspondence analysis, for two categorical variables, to multiple cor...
Correspondence analysis (CA) is popular method for providing a graphical summary of the association ...
Correspondence analysis (CA) is popular method for providing a graphical summary of the association ...
Correspondence Analysis (CA) is a statistical exploratory technique frequently used in many research...
Over the past few decades correspondence analysis has gained an international reputation as a powerf...
Over the past fewdecades correspondence analysis has gained an international reputation as a powerfu...
For an analysis of the association between two categorical variables that are cross-classified to f...
Correspondence analysis is a popular statistical technique used to identify graphically the presence...
Correspondence analysis is a versatile statistical technique that allows the user to graphically ide...