These functions operate on the $metadata component of an ir_aggregate_isofiles() result.
ir_filter_metadata() additionally cascades the filter to all other datasets:
traces, cycles, and scans are filtered by the remaining uidx + analysis combinations;
resistors and problems are filtered by the remaining uidx values.
After filtering, columns that are entirely NA across all remaining rows are
dropped from every dataset.
All three functions also clear the not-aggregated column information (columns
present in the source files but not included in the aggregator) from every
dataset, since that information is no longer meaningful after the metadata has
been modified.
Usage
ir_filter_metadata(aggregated_data, ...)
ir_mutate_metadata(aggregated_data, ...)
ir_join_metadata(aggregated_data, y, by)Arguments
- aggregated_data
datasets aggregated from
ir_aggregate_isofiles()- ...
passed to
dplyr::filter(),dplyr::mutate(), ordplyr::left_join()respectively- y
data frame to join to the metadata
- by
character vector of columns to join by (passed to
dplyr::left_join())