Recoding of the quantitative and of the qualitative data matrix.
recod(X.quanti, X.quali,rename.level=FALSE)a numerical data matrix.
a categorical data matrix.
boolean, if TRUE all the levels of the qualitative variables are renamed as follows: "variable_name=level_name".
X.quanti and X.quali concatenated in a single matrix.
X.quanti with missing values replaced with mean values concatenated with the indicator matrix of X.quali with missing values replaced by zeros.
X.quanti standardized (centered and reduced by standard deviations) concatenated with the indicator matrix of X.quali centered and reduced with the square roots of the relative frequencies of the categories.
X.quanti standardized (centered and reduced by standard deviations) concatenated with the indicator matrix of X.quali centered.
the number of observations.
the total number of variables
the number of quantitative variables
the number of qualitative variables
the means of the columns of Y
the standard deviations of the columns of Y
The indicator matix of X.quali with missing values replaced by 0
The indicator matix G reduced with the square roots of the relative frequencies of the categories