An exploration of the application of S-PLUS code designed to perform classical correspondence analysis is made in this paper. This code allows for the “classical” analysis to be performed on categorical data consisting of two or more variables. For multi-way contingency tables, correspondence analysis can be performed by considering either the indicator matrix or the Burt matrix. The code also allows the user to incorporate into the analysis confidence circles (to identify categorical responses that deviate from the hypothesis of independence) and for an asymmetrical analysis to be performed. The function includes various warnings and stoppages to help the user properly analyse their data
Correspondence Analysis: Theory, Practice and New Strategies examines the key issues of corresponden...
Multiple correspondence analysis (MCA) is a multivariate method for analyzing multidimensional conti...
This paper presents a description of the R package CAvariants. It performs six variants of correspon...
Simple correspondence analysis is a very popular exploratory tool used to graphically identify the a...
Correspondence analysis is a popular graphical tool used to analyse contingency tables. In the past,...
Over the past few decades correspondence analysis has gained an international reputation as a powerf...
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 ...
n this paper we present an unification to the methods for graphically summarising the association be...
Over the past fewdecades correspondence analysis has gained an international reputation as a powerfu...
The generalization of simple correspondence analysis, for two categorical variables, to multiple cor...
Correspondence analysis is a popular statistical technique used to identify graphically the presence...
This paper presents the R package CAvariants (Lombardo and Beh, 2017). The package performs six vari...
Multiple correspondence analysis (MCA) is an extension of correspondence analysis (CA) which allows ...
One of the most popular, and versatile, ways of visually analyzing the associating between categoric...
Correspondence Analysis: Theory, Practice and New Strategies examines the key issues of corresponden...
Multiple correspondence analysis (MCA) is a multivariate method for analyzing multidimensional conti...
This paper presents a description of the R package CAvariants. It performs six variants of correspon...
Simple correspondence analysis is a very popular exploratory tool used to graphically identify the a...
Correspondence analysis is a popular graphical tool used to analyse contingency tables. In the past,...
Over the past few decades correspondence analysis has gained an international reputation as a powerf...
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 ...
n this paper we present an unification to the methods for graphically summarising the association be...
Over the past fewdecades correspondence analysis has gained an international reputation as a powerfu...
The generalization of simple correspondence analysis, for two categorical variables, to multiple cor...
Correspondence analysis is a popular statistical technique used to identify graphically the presence...
This paper presents the R package CAvariants (Lombardo and Beh, 2017). The package performs six vari...
Multiple correspondence analysis (MCA) is an extension of correspondence analysis (CA) which allows ...
One of the most popular, and versatile, ways of visually analyzing the associating between categoric...
Correspondence Analysis: Theory, Practice and New Strategies examines the key issues of corresponden...
Multiple correspondence analysis (MCA) is a multivariate method for analyzing multidimensional conti...
This paper presents a description of the R package CAvariants. It performs six variants of correspon...