Dear All,

I was wondering whether anyone might be able to provide some advice with an 
nMDS / R problem. I'm trying to run nMDS on a dataset that contains many 
missing values and was wondering how I can account for the missing values when 
running nMDS? It seems as though the data are being grouped depending on where 
the zero values appear. Any suggestions greatly appreciated. Thank you very 
much in advance.

Apologies if this message isn't relevant to you.

Kind regards,

Jessie

________________________________
[http://www.plymouth.ac.uk/images/email_footer.gif]<http://www.plymouth.ac.uk/worldclass>

This email and any files with it are confidential and intended solely for the 
use of the recipient to whom it is addressed. If you are not the intended 
recipient then copying, distribution or other use of the information contained 
is strictly prohibited and you should not rely on it. If you have received this 
email in error please let the sender know immediately and delete it from your 
system(s). Internet emails are not necessarily secure. While we take every 
care, Plymouth University accepts no responsibility for viruses and it is your 
responsibility to scan emails and their attachments. Plymouth University does 
not accept responsibility for any changes made after it was sent. Nothing in 
this email or its attachments constitutes an order for goods or services unless 
accompanied by an official order form.

        [[alternative HTML version deleted]]

______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

Reply via email to