This function built the indicator matrix of a qualitative
data matrix. Missing observations are indicated as NA.
Usage
tab.disjonctif.NA(tab,rename.level=FALSE)
Arguments
tab
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
Returns the indicator matrix with NA for missing observations.
Details
This function uses the code of the function "tab.disjonctif" implemented in the package FactoMineR but is different. Here, a NA value appears when a category has not been observed in a row. In the function "tab.disjonctif" of the package FactoMineR, a new column is created in that case. In the output of the function recodqual, the NA are replaced with 0.