Access meta data from biom-class.
Retrieve and organize meta data from biom-class
,
represented as a data.frame
(if possible, or a list)
with proper index names.
sample_metadata(x, columns, parallel = FALSE) ## S4 method for signature 'biom,missing' sample_metadata(x, columns, parallel = FALSE) ## S4 method for signature 'biom,character' sample_metadata(x, columns, parallel = FALSE) ## S4 method for signature 'biom,numeric' sample_metadata(x, columns, parallel = FALSE)
x |
(Required). An instance of the |
columns |
(Optional). The subset of column indices described in the
returned object. For large datasets, specifying the column subset here,
rather than after creating the whole matrix first,
can improve speed/efficiency.
Can be vector of index numbers ( |
parallel |
(Optional). Logical. Whether to perform the accession parsing
using a parallel-computing backend supported by the |
A data.frame
or list
containing
the meta data, with index names. The precise form of the object returned
depends on the metadata stored in x
. A data.frame
is
created if possible.
min_dense_file = system.file("extdata", "min_dense_otu_table.biom", package = "biomformat") min_sparse_file = system.file("extdata", "min_sparse_otu_table.biom", package = "biomformat") rich_dense_file = system.file("extdata", "rich_dense_otu_table.biom", package = "biomformat") rich_sparse_file = system.file("extdata", "rich_sparse_otu_table.biom", package = "biomformat") min_dense_file = system.file("extdata", "min_dense_otu_table.biom", package = "biomformat") rich_dense_char = system.file("extdata", "rich_dense_char.biom", package = "biomformat") rich_sparse_char = system.file("extdata", "rich_sparse_char.biom", package = "biomformat") # Read the biom-format files x1 = read_biom(min_dense_file) x2 = read_biom(min_sparse_file) x3 = read_biom(rich_dense_file) x4 = read_biom(rich_sparse_file) x5 = read_biom(rich_dense_char) x6 = read_biom(rich_sparse_char) # Extract metadata sample_metadata(x1) sample_metadata(x2) sample_metadata(x3) sample_metadata(x3, 1:4) sample_metadata(x4) sample_metadata(x5) sample_metadata(x6)
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