soc.csa performs a class specific multiple correspondence analysis on a data.frame of factors, where cases are rows and columns are variables. Most descriptive and analytical functions that work for soc.mca, also work for soc.csa
soc.csa(object, class.indicator, sup = NULL)is a soc.ca class object created with soc.mca
the row indices of the class specific individuals
Defines the supplementary modalities in a data.frame with rows of individuals and columns of factors, without NA's
Number of active dimensions
The number of active individuals
The number of active modalities
Eigenvectors
The sum of inertia
A matrix with all active dimensions, adjusted and unadjusted inertias. See variance
Frequencies for the active modalities. See add.to.label
Frequencies for the supplementary modalities. See add.to.label
A matrix with the contribution values of the active modalities per dimension. See contribution
A matrix with the contribution values of the individuals per dimension.
The correlation or quality of each modality per dimension.
The correlation or quality of each individual per dimension.
The mass of each modality
A matrix with the principal coordinates of each active modality per dimension.
A matrix with the principal coordinates of each individual per dimension.
A matrix with the principal coordinates of each supplementary modality per dimension. Notice that the position of the supplementary modalities in class specific analysis is the mean point of the individuals, which is not directly comparable with the cloud of the active modalities.
A indicator matrix. See indicator
The names of the active modalities
The names of the individuals
The names of the supplementary modalities
The names of the passive modalities
A matrix with the number of modalities per variable and their location
A vector with the name of the variable for each of the active modalities
A vector with the name of the variable for each of the supplementary modalities
The class indicator
The original soc.ca object used for the CSA
Le Roux, B., og H. Rouanet. 2010. Multiple correspondence analysis. Thousand Oaks: Sage.
# NOT RUN {
example(soc.ca)
class.age <- which(taste$Age == '55-64')
res.csa <- soc.csa(result, class.age)
res.csa
# }
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