read annotation files
Value
list with annot (annotation table), atable (analtysis table configuration), contrasts list with contrasts.
Examples
annot <- data.frame(
file = c("a1.raw","a2.raw","a3.raw","a4.raw"),
name = c("aa","ba","aa","ba"),
group = c("a","a","b","b"))
read_annotation(annot, QC = TRUE)
#> $atable
#> <AnalysisConfiguration>
#> Public:
#> annotation_vars: function ()
#> bin_resp:
#> clone: function (deep = FALSE)
#> factorDepth: 1
#> factor_keys: function ()
#> factor_keys_depth: function ()
#> factors: list
#> fileName: file
#> get_response: function ()
#> hierarchy: list
#> hierarchyDepth: 1
#> hierarchyKeys: function (rev = FALSE)
#> hierarchy_keys: function (rev = FALSE)
#> hierarchy_keys_depth: function (names = TRUE)
#> hkeysDepth: function (names = TRUE)
#> id_required: function ()
#> id_vars: function ()
#> ident_Score:
#> ident_qValue: qValue
#> initialize: function (analysisTableAnnotation = NULL, analysisParameter = NULL)
#> is_response_transformed: FALSE
#> isotopeLabel: isotopeLabel
#> min_peptides_protein: 2
#> normValue: NULL
#> nr_children: nr_children
#> opt_mz:
#> opt_rt:
#> parameter: active binding
#> pop_response: function ()
#> sampleName: name
#> sep: ~
#> set_response: function (colName)
#> table: active binding
#> value_vars: function ()
#> workIntensity: NULL
#>
#> $annot
#> file name group
#> 1 a1.raw aa_1 a
#> 2 a2.raw ba_1 a
#> 3 a3.raw aa_2 b
#> 4 a4.raw ba_2 b
#>