Hej hej,
I have a question. I ran the philr function on my phyloseq object:
OBJS1philr <- philr(x = as.matrix(otu_table(Data.c)), tree = rooted_tree,
part.weights = "enorm.x.gm.counts",
ilr.weights = "blw.sqrt",
pseudocount = 1,
abund_values = "counts")
and the output matrix contained quite a lot of NAs.
Why is that? Is there a way to change that? Or how do I handle the NAs afterwards, e.g. turning them into zeroes or a mean?
Kind regards,
Nicolai
Hej hej,
I have a question. I ran the philr function on my phyloseq object:
OBJS1philr <- philr(x = as.matrix(otu_table(Data.c)), tree = rooted_tree,
part.weights = "enorm.x.gm.counts",
ilr.weights = "blw.sqrt",
pseudocount = 1,
abund_values = "counts")
and the output matrix contained quite a lot of NAs.
Why is that? Is there a way to change that? Or how do I handle the NAs afterwards, e.g. turning them into zeroes or a mean?
Kind regards,
Nicolai