
Assign bin classifications to a strollur object
Source:R/RcppExports.R
xdev_assign_bin_taxonomy_tidy.RdAssign bin classifications to a strollur object
Usage
xdev_assign_bin_taxonomy_tidy(
data,
table,
bin_type = "otu",
reference = NULL,
bin_name = "bin_name",
level = "level",
taxonomy = "taxonomy",
confidence = "confidence",
verbose = TRUE
)Arguments
- data
- table
a data.frame containing bin taxonomy assignments
- bin_type
a string indicating the type of bin assignments. Default "otu".
- reference
a list created by the function new_reference. Optional.
- bin_name
a string containing the name of the column in 'table' that contains the bin names. Default column name is 'bin_name'.
- level
a string containing the name of the column in 'table' that contains the taxonomy levels. Default column name is 'level'.
- taxonomy
a string containing the name of the column in 'table' that contains the bin taxonomies. Default column name is 'taxonomy'.
- confidence
a string containing the name of the column in 'table' that contains the taxonomies confidence. Default column name is 'confidence'.
- verbose
a logical whether or not you want progress messages. Default = TRUE.
Value
an updated strollur object
Examples
bin_classifications <- readRDS(strollur_example("miseq_tidy_bin_taxonomy.rds"))
str(bin_classifications)
#> 'data.frame': 3186 obs. of 4 variables:
#> $ bin_name : chr "Otu001" "Otu001" "Otu001" "Otu001" ...
#> $ level : int 1 2 3 4 5 6 1 2 3 4 ...
#> $ taxonomy : chr "Bacteria" "\"Bacteroidetes\"" "\"Bacteroidia\"" "\"Bacteroidales\"" ...
#> $ confidence: int 100 100 100 100 100 100 100 100 100 100 ...
data <- strollur::read_mothur(otu_shared =
strollur_example("final.opti_mcc.shared"))
#> Assigned 531 otu bins.
xdev_assign_bin_taxonomy_tidy(data, bin_classifications)
#> Assigned 531 otu bin taxonomies.
#>
#> Number of unique seqs: 531
#> Total number of seqs: 113963
#>
#> Total number of samples: 19
#> Total number of otus: 531
#> Total number of otu bin classifications: 531
#>
# With the reference parameter you can add information about the reference
# you used to classify your bins. You can also add references using the
# 'strollur::xdev_add_references' function.
reference <- new_reference("trainset9_032012.pds.zip", "9_032012",
"classification_otu by mothur2 v1.0.0 using default options",
"",
"https://mothur.s3.us-east-2.amazonaws.com/wiki/trainset9_032012.pds.zip")
xdev_assign_bin_taxonomy_tidy(data, bin_classifications,
reference = reference)
#> Assigned 531 otu bin taxonomies.
#> Added 1 resource references.
#>
#> Number of unique seqs: 531
#> Total number of seqs: 113963
#>
#> Total number of samples: 19
#> Total number of otus: 531
#> Total number of otu bin classifications: 531
#> Total number of resource references: 1
#>