پکیج های مربوط به Correspondence Analysis در نرم افزار R

در لینک زیر می توانید پکیج های مربوط به Correspondence Analysis را در نرم افزار را مشاهده کنید:

http://cran.r-project.org/web/views/Psychometrics.html

comprises two parts, one for simple correspondence analysis and one for multiple and joint correspondence analysis. Within each part, functions for computation, summaries and visualization in two and three dimensions are provided, including options to display supplementary points and perform subset analyses	ca	1	Correspondence Analysis (CA)
Simple and canonical CA  different scaling methods such as standard scaling, Benzecri scaling, centroid scaling, and Goodman scaling two- and three-dimensional joint plots including confidence ellipsoids  alternative plotting possibilities in terms of transformation plots, Benzecri plots, and regression plots	anacor	2
interactive Biplots	BiplotGUI	3
Homogeneity analysis aka multiple CA and various Gifi extensions Hull plots, span plots, Voronoi plots, star plots, projection plots	homals	4
Simple and multiple correspondence analysis	MASS	5
functions covering, e.g., principal components, simple and multiple, fuzzy, non-symmetric, and decentered correspondence analysis	ade4	6
predictive and symmetric co-correspondence analysis (CoCA) models	cocorresp	7
several factor analytic methods CA including supplementary row and/or column points and multiple correspondence analysis (MCA) with supplementary individuals, supplementary quantitative variables and supplementary qualitative variables	FactoMineR	8
basic ordination methods, including non-metric multidimensional scaling The constrained ordination methods include constrained analysis of proximities, redundancy analysis, and constrained (canonical) and partially constrained correspondence analysis	vegan	9
SVD based multivariate exploratory methods such as PCA, CA, MCA (as well as a Hellinger form of CA)	ExPosition	10