
This function built the indicator matrix of a qualitative data matrix. Missing observations are indicated as NAs.
tab.disjonctif.NA(tab, rename.level = FALSE)
a categorical data matrix..
boolean, if TRUE all the levels of the qualitative variables are renamed as follows: variable_name=level_name.
Returns the indicator matrix with NA for missing observations.
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.
# NOT RUN {
data(vnf)
X <- vnf[1:10,9:12]
tab.disjonctif.NA(X)
# }
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