Correspondence analysis is a method making easy to interpret the categorical variables given in contingency tables, showing the similarities, associations as well as divergences among these variables via graphics on a lower dimensional space. Since it factors the data matrix into the rows and columns, and shows each of them with a separate graphics, it releases important information about the structure of the data. There are similarities between this analysis and some other multivariate methods including Principal Component Analysis, Log-Linear Models and Multidimensional Scaling. Having lots...
Correspondence analysis is a method making easy to interpret the categorical variables given in contingency tables, showing the similarities, associat...