get_PRROC: get_PRROC
In alex-kalinka-cruk/fgcQC: QC metric calculations for CRISPR screen data produced at the FGC

Returns precision and recall values for a data frame containing TP and a score metric (e.g. Bayes factor), or the AUPrRc.

1	get_PRROC(data, score_col, group_col = NULL)

`data`	A data frame containing a 'TP' logical column indicating which genes are true positives.
`score_col`	A character string naming a column containing a score metric.
`group_col`	A character string naming the grouping column of 'data'. If 'NULL' then no group, defaults to 'NULL'.

A data frame containing the following columns: 'Precision', 'Recall', 'Sensitivity_FDR_10pct', 'Sensitivity_FDR_10pct', and 'AUPrRc'.

alex-kalinka-cruk/fgcQC documentation built on June 23, 2020, 9:05 p.m.

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