biomformat (version 1.0.2)

sample_metadata: Access meta data from biom-class.

Description

Retrieve and organize meta data from biom-class, represented as a data.frame (if possible, or a list) with proper index names.

Usage

sample_metadata(x, columns, parallel = FALSE)
"sample_metadata"(x, columns, parallel = FALSE)
"sample_metadata"(x, columns, parallel = FALSE)
"sample_metadata"(x, columns, parallel = FALSE)

Arguments

x

(Required). An instance of the biom-class.

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 (numeric-class) or index names (character-class).

parallel

(Optional). Logical. Whether to perform the accession parsing using a parallel-computing backend supported by the plyr-package via the foreach-package.

Value

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.

Examples

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)