Convert a glycomics container to a long-format tibble — as

Each row represents one variable and sample pair, including missing abundance values. Variables follow row order, with samples varying fastest. Sample and variable identifiers come from the dimension names; missing names are represented by NA_character_. Annotations are matched by position.

Usage

# S3 method for class 'GlycomicSE'
as_tibble(
  x,
  sample_cols = tidyselect::everything(),
  var_cols = tidyselect::everything(),
  ...
)

# S3 method for class 'GlycoproteomicSE'
as_tibble(
  x,
  sample_cols = tidyselect::everything(),
  var_cols = tidyselect::everything(),
  ...
)

Arguments

x: A GlycomicSE() or GlycoproteomicSE() object.
sample_cols, var_cols: Tidy-select expressions selecting annotations from colData(x) and rowData(x), respectively. Defaults to all columns. Use NULL to omit annotations.
...: Ignored.

Value

A tibble with sample, sample annotations, variable, variable annotations, and value columns. Conflicting annotation names receive unique suffixes; sample, variable, and value retain their names.

Examples

tibble::as_tibble(real_experiment2, sample_cols = NULL, var_cols = NULL)
#> # A tibble: 9,504 × 3
#>    sample variable        value
#>    <chr>  <chr>           <dbl>
#>  1 S1     Hex(3)HexNAc(3) 1354.
#>  2 S2     Hex(3)HexNAc(3) 1884.
#>  3 S3     Hex(3)HexNAc(3) 1389.
#>  4 S4     Hex(3)HexNAc(3) 2035.
#>  5 S5     Hex(3)HexNAc(3) 1473.
#>  6 S6     Hex(3)HexNAc(3) 1312.
#>  7 S7     Hex(3)HexNAc(3) 1521.
#>  8 S8     Hex(3)HexNAc(3) 1374.
#>  9 S9     Hex(3)HexNAc(3) 1168.
#> 10 S10    Hex(3)HexNAc(3) 1538.
#> # ℹ 9,494 more rows