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Activate a Specific Dataset

Source: R/9-activate_mass_dataset.R
activate_mass_dataset.Rd

Activates a dataset within the mass dataset object for further analysis.

Usage

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

Arguments

.data

A mass_dataset object.

what

A character string specifying which dataset to activate. The available options are:

  • "sample_info": Activates the sample information dataset.

  • "variable_info": Activates the variable information dataset.

  • "expression_data": Activates the expression data.

  • "annotation_table": Activates the annotation table.

By default, it activates the "sample_info" dataset.

Value

Returns the mass_dataset object with the specified dataset activated.

Details

This function allows users to activate a specific dataset within the mass_dataset object. The activated dataset can be then used in subsequent analysis steps.

Author

Xiaotao Shen xiaotao.shen@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: 0.99.1 
#> -------------------- 
#> 1.expression_data:[ 1000 x 8 data.frame]
#> 2.sample_info:[ 8 x 4 data.frame]
#> 8 samples:Blank_3 Blank_4 QC_1 ... PS4P3 PS4P4
#> 3.variable_info:[ 1000 x 3 data.frame]
#> 1000 variables:M136T55_2_POS M79T35_POS M307T548_POS ... M232T937_POS M301T277_POS
#> 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
#> 1 processings in total
#> create_mass_dataset ---------- 
#>       Package         Function.used                Time
#> 1 massdataset create_mass_dataset() 2026-03-02 09:27:03
object <- activate_mass_dataset(.data = object, what = "sample_info")
head(dplyr::filter(object, class == "QC"))
#> -------------------- 
#> massdataset version: 0.99.1 
#> -------------------- 
#> 1.expression_data:[ 6 x 2 data.frame]
#> 2.sample_info:[ 2 x 4 data.frame]
#> 2 samples:QC_1 QC_2
#> 3.variable_info:[ 6 x 3 data.frame]
#> 6 variables:M136T55_2_POS M79T35_POS M307T548_POS ... M349T47_POS M182T828_POS
#> 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
#> 3 processings in total
#> create_mass_dataset ---------- 
#>       Package         Function.used                Time
#> 1 massdataset create_mass_dataset() 2026-03-02 09:27:03
#> filter ---------- 
#>       Package Function.used                Time
#> 1 massdataset      filter() 2026-03-02 09:27:03
#> update_mass_dataset ---------- 
#>       Package         Function.used                Time
#> 1 massdataset update_mass_dataset() 2026-03-02 09:27:03