Create example datasets
create_df_examples.RdIt create mock datasets that can be used to test other functions of this package.
Usage
create_df_examples(
datasets = c("all", "df_example_generic", "df_example_targeted",
"df_example_targeted_legend", "df_example_targeted_compounds_legend",
"df_example_sample_data", "df_example_feat_intensities", "df_example_feat_info",
"df_example_qc_sampletype", "df_example_melecules_to_search", "df_example_gradient")
)Arguments
- datasets
one of the following: "all", "df_example_generic", "df_example_targeted", "df_example_targeted_legend", "df_example_targeted_compounds_legend", "df_example_sample_data", "df_example_feat_intensities", "df_example_feat_info", "df_example_qc_sampletype", "df_example_melecules_to_search", "df_example_gradient".
If "all", all of the following dataframes (tibble) will be created as different objects.
df_example_generic: generic dataframe useful for testing some statistical functions.
df_example_targeted: example for the first argument of get_targeted_elaboration.
df_example_targeted_legend: example for the second argument of get_targeted_elaboration.
df_example_targeted_compounds_legend: example for the third argument of get_targeted_elaboration.
df_example_sample_data: example of the metadata (additional variables besides molecular data, in real life they could be age, sex, BMI) that can be used to test statistical functions.
df_example_feat_intensities: example of featTable, with feature intensities.
df_example_feat_info: example of featINFO, with retention times and m/z.
df_example_qc_sampletype: example of a table to pass in the sampletype argument of the QCs_process function.
df_example_melecules_to_search; example of known standards to pass to the third argument of checkmolecules_in_feat_table.
df_example_gradient: example for get_phase_amount; features_data_example, example of a feature data table.