I am currently using the function daisy in package cluster to create a
dissimilarity matrix because my multivariate dataset contain missing
data and variables of various types including factors, symmetric and
asymmetric binary and quantitative. This is a step prior to using pco
within ecodist.

 

There is a warning which comes twice 

">NAs introduced by coercion"

 

I've used the option:

type = list(asymm = c(4:30,32:42), symm= c(31,43))

to indicate which are binary variables and their symmetry.

 

The remaining variables I have left alone since if they are numerical
they are already in the data frame as "int" or "num" and if they are
factors they are already in the dataframe as "Factor".

 

Can anyone advise me: a) does this coercion matter? b) If it does
matter, how can I track down where/how it is happening?

 

Thank you in advance,

Roger Humphry

 

 

**** Roger Humphry, PhD.

**** EPI, SCRI, 

**** Dundee, DD2 5DA

**** 01382 560042 (Internal Ext: 2528)

 

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