Hi Jesse,
I just replied to another user with the same question yesterday. Please see below. Note that you need to update the package from GitHub. Canopy is not primarily designed for one sample -- I’m not sure how much information about phylogeny you can get from one heterogeneous sample. Also Canopy is not focused on clustering, which is only a by-product of the program.
Thanks,
Yuchao
From: Jesse Eaton [mailto:notifi...@github.com]
Sent: Thursday, April 27, 2017 10:49 AM
To: yuchaojiang/Canopy <Can...@noreply.github.com>
Cc: Subscribed <subsc...@noreply.github.com>
Subject: [yuchaojiang/Canopy] Clustering with 1 Sample (#8)
I have a single sample around 325 single nucleotide alterations (SNAs) which I've stored in the
R
and X
variables. I can use these with my CNA data to run
canopy.sample()
but when I run clustering in the following way
canopy.cluster(R = R,
X = X,
num_cluster = num_cluster,
num_run = num_run)
I get the error
Error in while (diff > 0.001 || numiters <= 30) { :
missing value where TRUE/FALSE needed
Any reason why this might be? Thank you for your help!
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Error in while (diff > 0.001 || numiters <= 30) { :
missing value where TRUE/FALSE needed
"