recod: Recoding of the data matrices

In PCAmixdata: Multivariate Analysis of Mixed Data

Description

Recoding of the quantitative and of the qualitative data matrix.

Usage

  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".

Value

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

PCAmixdata documentation built on May 2, 2019, 12:38 p.m.