lca_probs | R Documentation |
Probabilitys of sharing a rank as a function of sequence identity
lca_probs(
x,
method = "mbed",
k = 5,
nstart = 20,
ranks = c("kingdom", "phylum", "class", "order", "family", "genus", "species"),
delim = ";"
)
x |
a DNAbin object or an object coercible to DNAbin |
method |
The distance matrix computation method to use, accepts "mbed" which computes a distance matrix from each sequence to a subset of 'seed' sequences using the method outlined in Blacksheilds et al (2010). This scales well to big datasets, alternatively "kdist" computes the full n * n distance matrix. |
k |
integer giving the k-mer size used to generate the input matrix for k-means clustering. |
nstart |
value passed to nstart passed to kmeans. Higher increases computation time but can improve clustering accuracy considerably. |
ranks |
The taxonomic ranks currently assigned to the names |
delim |
The delimiter used between ranks |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.