taxa_matrix() - Accepts a single rank and returns a matrix.
taxa_table() - Can accept more than one rank and returns a tibble data.frame.
taxa_table(
biom,
rank = -1,
taxa = 6,
lineage = FALSE,
md = ".all",
unc = "singly",
other = FALSE,
transform = "none",
ties = "random",
seed = 0
)taxa_matrix(
biom,
rank = -1,
taxa = NULL,
lineage = FALSE,
sparse = FALSE,
unc = "singly",
other = FALSE,
transform = "none",
ties = "random",
seed = 0
)
taxa_matrix() - A numeric matrix with taxa as rows, and samples as columns.
taxa_table() - A tibble data frame with column names .sample, .taxa, .abundance, and any requested by md.
An rbiom object, such as from as_rbiom().
Any value accepted by as_rbiom() can also be given here.
What rank(s) of taxa to display. E.g. "Phylum",
"Genus", ".otu", etc. An integer vector can also be
given, where 1 is the highest rank, 2 is the second
highest, -1 is the lowest rank, -2 is the second
lowest, and 0 is the OTU "rank". Run biom$ranks to
see all options for a given rbiom object. Default: -1.
Which taxa to display. An integer value will show the top n
most abundant taxa. A value 0 <= n < 1 will show any taxa with that
mean abundance or greater (e.g. 0.1 implies >= 10%). A
character vector of taxa names will show only those named taxa.
Default: 6.
Include all ranks in the name of the taxa. For instance,
setting to TRUE will produce
Bacteria; Actinobacteria; Coriobacteriia; Coriobacteriales.
Otherwise the taxa name will simply be Coriobacteriales. You
want to set this to TRUE when unc = "asis" and you have taxa
names (such as Incertae_Sedis) that map to multiple higher
level ranks. Default: FALSE
Dataset field(s) to include in the output data frame, or '.all'
to include all metadata fields. Default: '.all'
How to handle unclassified, uncultured, and similarly ambiguous taxa names. Options are:
"singly" - Replaces them with the OTU name.
"grouped" - Replaces them with a higher rank's name.
"drop" - Excludes them from the result.
"asis" - To not check/modify any taxa names.
Abbreviations are allowed. Default: "singly"
Sum all non-itemized taxa into an "Other" taxa. When
FALSE, only returns taxa matched by the taxa
argument. Specifying TRUE adds "Other" to the returned set.
A string can also be given to imply TRUE, but with that
value as the name to use instead of "Other".
Default: FALSE
Transformation to apply. Options are:
c("none", "rank", "log", "log1p", "sqrt", "percent"). "rank" is
useful for correcting for non-normally distributions before applying
regression statistics. Default: "none"
When transform="rank", how to rank identical values.
Options are: c("average", "first", "last", "random", "max", "min").
See rank() for details. Default: "random"
Random seed for permutations. Must be a non-negative integer.
Default: 0
If TRUE, returns a
slam::simple_triplet_matrix(), otherwise returns a
normal R matrix object. Default: FALSE
Other taxa_abundance:
sample_sums(),
taxa_boxplot(),
taxa_clusters(),
taxa_corrplot(),
taxa_heatmap(),
taxa_stacked(),
taxa_stats(),
taxa_sums()
library(rbiom)
hmp50$ranks
taxa_matrix(hmp50, 'Phylum')[1:4,1:6]
taxa_table(hmp50, 'Phylum')
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