Determine the context of subsequent manipulations

activate_mass_dataset(
  .data,
  what = c("sample_info", "variable_info", "expression_data", "annotation_table")
)

Arguments

.data

(required) A mass_dataset class object

what

(required) What should get be activated? Possible values are sample_info, expression_data, variable_info, or annotation_table

Value

A mass_dataset class object

Author

Xiaotao Shen shenxt1990@outlook.com

Examples

data("expression_data")
data("sample_info")
data("variable_info")

object =
  create_mass_dataset(
    expression_data = expression_data,
    sample_info = sample_info,
    variable_info = variable_info
  )
object
#> -------------------- 
#> massdataset version: 1.0.12 
#> -------------------- 
#> 1.expression_data:[ 1000 x 8 data.frame]
#> 2.sample_info:[ 8 x 4 data.frame]
#> 3.variable_info:[ 1000 x 3 data.frame]
#> 4.sample_info_note:[ 4 x 2 data.frame]
#> 5.variable_info_note:[ 3 x 2 data.frame]
#> 6.ms2_data:[ 0 variables x 0 MS2 spectra]
#> -------------------- 
#> Processing information (extract_process_info())
#> 1 processings in total
#> create_mass_dataset ---------- 
#>       Package         Function.used                Time
#> 1 massdataset create_mass_dataset() 2022-08-07 19:32:57
object@activated
#> character(0)
object =
  activate_mass_dataset(.data = object, what = "sample_info")
object@activated
#> [1] "sample_info"