Description Usage Arguments Details Value Examples
View source: R/merge-methods.R
Takes a comma-separated list of phyloseq objects as arguments, and returns the most-comprehensive single phyloseq object possible.
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... |
a comma-separated list of phyloseq objects. |
Higher-order objects can be created if arguments are appropriate component data
types of different
classes, and this should mirror the behavior of the phyloseq
method,
which is the suggested method if the goal is simply to create a higher-order
phyloseq object from different data types (1 of each class) describing the same experiment.
By contrast, this method is intended for situations in which one wants to combine
multiple higher-order objects, or multiple core component data objects (e.g. more than one
otu_table
) that should be combined into one object.
Merges are performed by first separating higher-order objects into
a list of their component objects; then, merging any component objects of the same class
into one object according to the behavior desribed in merge_phyloseq_pair
;
and finally, building back up a merged-object according to the constructor
behavior of the phyloseq
method. If the arguments contain only a single
component type – several otu_table objects, for example – then a single merged object
of that component type is returned.
Merges are performed by first separating higher-order objects into
a list of their component objects; then, merging any component objects of the same class
into one object according to the behavior desribed in merge_phyloseq_pair
;
and finally, re-building a merged-object according to the constructor
behavior of the phyloseq
method. If the arguments contain only a single
component type – several otu_table objects, for example – then a single merged object
of the relevant component type is returned.
Merges between 2 or more tree objects are ultimately done using
consensus
from the ape package.
This has the potential to limit somewhat the final data object, because trees
don't merge with other trees in the same granular manner as data tables, and
ultimately the species/taxa in higher-order phyloseq objects will be clipped to
what is contained in the tree. If this an issue, the tree component should
be ommitted from the argument list.
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## # Make a random complex object
## OTU1 <- otu_table(matrix(sample(0:5,250,TRUE),25,10), taxa_are_rows=TRUE)
## tax1 <- tax_table(matrix("abc", 30, 8))
## map1 <- data.frame( matrix(sample(0:3,250,TRUE),25,10),
## matrix(sample(c("a","b","c"),150,TRUE), 25, 6) )
## map1 <- sample_data(map1)
## exam1 <- phyloseq(OTU1, map1, tax1)
## x <- exam1
## x <- phyloseq(exam1)
## y <- tax_table(exam1)
## merge_phyloseq(x, y)
## merge_phyloseq(y, y, y, y)
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