View source: R/annotation_qc.R
meta_qc_project | R Documentation |
Wrapper to go through project datasets and do revalidation in one-stop-shop manner.
This works best when datasets are directly under "Raw Data" (the standard and most-preferred organization)
or at most one additional level of nesting. See https://help.nf.synapse.org/NFdocs/how-to-organize-data.
For selective validation or more complicated structures,
look at meta_qc_dataset
to do manual or interactive dataset-by-dataset validation.
meta_qc_project(project_id, result_file = NULL, ...)
project_id |
Synapse project id. |
result_file |
If not NULL, also write to output to |
... |
Params passed to |
A table of with rows for the datasets QC'd, with dataset id, name, TRUE/FALSE pass result, and summary;
otherwise NA
.
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