I have noticed Mark Siddall's response to my "naive" questions
regarding ci's , ri's etc. For his information, I have been doing
various analyses on my data set (with Hennig86) and found the results
confusing. This confusion led to my questions regarding the EXACT
meaning of these indices. When I performed such analyses at
different error values, Hennig86 produced different trees. The
problem I've got is one of being totally objective in my analysis.
Which tree is the correct tree ? I can actually select a tree to my
fancy - isn't this subjective ? In the light of THESE observations,
I raised my questions as to what EXACTLY these values mean. Where is
the cut-off value ? How then should one "decide" what the best tree
is ? These questions have unfortunately not been answered.