Convert Samples to Group Averages — convert_to_group

To account for users measuring there data in triplicates or other forms of measurement, we have implemented a function that can transform your matched data object to use group averages instead of each sample individually.

Usage

convert_to_group_averages(matched_data, mpactr_object)

Arguments

matched_data: your mass data set object generated from ms2_ms1_compare().
mpactr_object: The object created from import_all_data().

Value

a mass_data object using group averages

Examples

data <-
   import_all_data(peak_table =
                   mums2::mums2_example("botryllus_pt_small.csv"),
                   metadata =
                   mums2::mums2_example("boryillus_metadata.csv"),
                   format = "None")



matched_data <- ms2_ms1_compare(mums2_example("botryllus_v2.gnps.mgf"),
 data, 1, 6)
#> Reading: /home/runner/work/_temp/Library/mums2/extdata/botryllus_v2.gnps.mgf ...
#> 17/349 peaks have an MS2 spectra.

matched_data_avg <- convert_to_group_averages(matched_data,
                                              data)