Prepare features table — prepare_features

This function prepares features

Usage

prepare_features_tables(
  features = get_params(step = "prepare_features_tables")$files$features$raw,
  output = get_params(step = "prepare_features_tables")$files$features$prepared,
  candidates = get_params(step = "prepare_features_tables")$annotations$canidates$samples,
  name_adduct = get_params(step = "prepare_features_tables")$names$adduct,
  name_features = get_params(step = "prepare_features_tables")$names$features,
  name_rt = get_params(step = "prepare_features_tables")$names$rt$features,
  name_mz = get_params(step = "prepare_features_tables")$names$precursor
)

Arguments

features: Path to the file containing the features data
output: Path to the file to export the merged data to
candidates: Number of samples to be retained per feature top intensities
name_adduct: Name of the adduct column in the features data
name_features: Name of the features column in the features data
name_rt: Name of the retention time column in the features data
name_mz: Name of the m/z column in the features data

Value

The path to the prepared feature table

Examples

if (FALSE) { # \dontrun{
copy_backbone()
go_to_cache()
get_file(
  url = get_default_paths()$urls$examples$features,
  export = get_params(step = "prepare_features_tables")$files$features$raw
)
prepare_features_tables()
unlink("data", recursive = TRUE)
} # }