The import_dataset function will create a strollur object from the exported table of a strollur object.
Arguments
- table
a table containing the data from a strollur object. You can create the table using 'export(data)'.
Value
a strollur object
Examples
miseq <- miseq_sop_example()
#> Added 2425 sequences.
#> Assigned 2425 sequence abundances.
#> Assigned 2425 sequence taxonomies.
#> Assigned 531 otu bins.
#> Assigned 2425 asv bins.
#> Assigned 63 phylotype bins.
#> Assigned 19 samples to treatments.
#> Assigned 531 otu bin taxonomies.
#> Assigned 531 otu bin representative sequences.
#> Added metadata.
#> Added 2 resource references.
#> Added a contigs_report.
data <- import_dataset(export_dataset(miseq))
#> Added 2425 sequences.
#> Assigned 2425 sequence taxonomies.
#> Assigned 2425 sequence abundances.
#> Assigned 531 otu bins.
#> Assigned 531 otu bin representative sequences.
#> Assigned 531 otu bin taxonomies.
#> Assigned 2425 asv bins.
#> Assigned 2425 asv bin taxonomies.
#> Assigned 63 phylotype bins.
#> Assigned 63 phylotype bin taxonomies.
#> Added metadata.
#> Added 2 resource references.
#> Added a contigs_report.
data
#> miseq_sop:
#>
#> starts ends nbases ambigs polymers numns numseqs
#> Minimum: 1 375 249 0 3 0 1.00
#> 2.5%-tile: 1 375 252 0 3 0 2850.08
#> 25%-tile: 1 375 252 0 4 0 28491.75
#> Median: 1 375 252 0 4 0 56982.50
#> 75%-tile: 1 375 253 0 5 0 85473.25
#> 97.5%-tile: 1 375 253 0 6 0 111114.93
#> Maximum: 1 375 256 0 6 0 113963.00
#> Mean: 1 375 252 0 4 0 0.00
#>
#> Number of unique seqs: 2425
#> Total number of seqs: 113963
#>
#> Total number of samples: 19
#> Total number of treatments: 2
#> Total number of otus: 531
#> Total number of otu bin classifications: 531
#> Total number of asvs: 2425
#> Total number of asv bin classifications: 2425
#> Total number of phylotypes: 63
#> Total number of phylotype bin classifications: 63
#> Total number of sequence classifications: 2425
#> Total number of resource references: 2
#> Total number of custom reports: 1
#> Your dataset includes metadata
#>