recod function

Recoding of the data matrices

Recoding of the quantitative and of the qualitative data matrix.

recod(X.quanti, X.quali,rename.level=FALSE)

Arguments

• X.quanti: a numerical data matrix.
• X.quali: a categorical data matrix.
• rename.level: boolean, if TRUE all the levels of the qualitative variables are renamed as follows: "variable_name=level_name".

Returns

• X: X.quanti and X.quali concatenated in a single matrix.

• Y: X.quanti with missing values replaced with mean values concatenated with the indicator matrix of X.quali with missing values replaced by zeros.

• Z: 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.

• W: X.quanti standardized (centered and reduced by standard deviations) concatenated with the indicator matrix of X.quali centered.

• n: the number of observations.

• p: the total number of variables

• p1: the number of quantitative variables

• p2: the number of qualitative variables

• g: the means of the columns of Y

• s: the standard deviations of the columns of Y

• G: The indicator matix of X.quali with missing values replaced by 0

• Gcod: The indicator matix G reduced with the square roots of the relative frequencies of the categories