I have a survey data which has 18.406 rows and 247 columns. It has too many likert scale questions. And of course it has NAs.
I checked similar questions and I saw an answer in that topic: Cluster Analysis in R with missing data But it doesn't work for me.
I am trying to use Fuzzy clustering method. As a first step, I subset data with "select" function for the questions I want to examine. Now my data has "integer" values. And after that I tried to have Dissimilarity Matrix with "daisy" function. This allows NAs. After this step, I used "fanny". The first argument needs Dissimilarity Matrix -or data frame- and in "fanny" , NAs are not allowed. Although removing rows with NAs is not the solution I'm looking for.
What am I doing wrong?
Cheers,