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Calculate similarity for one t(otutab)
cal_sim(totu, totu2 = NULL, method = "bray")
similarity = 1-distance
t(otutab), row are samples, column are features.
t(otutab) or NULL, row are samples, column are features.
Dissimilarity index, see vegdist.
vegdist
Other calculate: c_net_calculate(), fast_cor(), p.adjust.table(), read_corr()
c_net_calculate()
fast_cor()
p.adjust.table()
read_corr()
if (requireNamespace("vegan")) { data("otutab", package = "pcutils") t(otutab) -> totu cal_sim(totu) -> sim_corr }
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