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I'm trying to run a cross-domain analysis using ITS2 data (2 fungal taxa) and 16s data, using:
spiec_result_gr1 <- multi.spiec.easi(list(counts_hmp216S, counts_hmp2prot), method='mb', nlambda=40, lambda.min.ratio=1e-2,
pulsar.params = list(thresh = 0.05))
However, I keep getting the following error. I've tried filtering in multiple ways, but the same thing keeps happening.
How to fix this?
Secondly, is this supposed to be performed only on count data, or on compositional i.e. relative abundance data?
ERROR message:
Applying data transformations...
Error in if (max < min) stop("Did you flip min and max?") :
missing value where TRUE/FALSE needed
In addition: Warning message:
In spiec.easi.list(datalist, method = method, sel.criterion = sel.criterion, :
input list contains data of mixed classes.
The text was updated successfully, but these errors were encountered:
Hi there,
I'm trying to run a cross-domain analysis using ITS2 data (2 fungal taxa) and 16s data, using:
spiec_result_gr1 <- multi.spiec.easi(list(counts_hmp216S, counts_hmp2prot), method='mb', nlambda=40, lambda.min.ratio=1e-2,
pulsar.params = list(thresh = 0.05))
However, I keep getting the following error. I've tried filtering in multiple ways, but the same thing keeps happening.
How to fix this?
Secondly, is this supposed to be performed only on count data, or on compositional i.e. relative abundance data?
ERROR message:
Applying data transformations...
Error in if (max < min) stop("Did you flip min and max?") :
missing value where TRUE/FALSE needed
In addition: Warning message:
In spiec.easi.list(datalist, method = method, sel.criterion = sel.criterion, :
input list contains data of mixed classes.
The text was updated successfully, but these errors were encountered: