Determine the context of subsequent manipulations
activate_mass_dataset(
.data,
what = c("sample_info", "variable_info", "expression_data", "annotation_table")
)
(required) A mass_dataset class object
(required) What should get be activated?
Possible values are sample_info
,
expression_data
, variable_info
, or annotation_table
A mass_dataset class object
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"