add_ROC: add_ROC
In alex-kalinka-cruk/fgcQC: QC metric calculations for CRISPR screen data produced at the FGC
Description
Usage
Arguments
Value
Author(s)
Description
Adds TPR and FPR columns to a data frame containing TP and a score metric (e.g. Bayes factors).
Usage
1
Arguments
data
A data frame containing a 'TP' and score column.
score_col
A character string naming the column to be used as a score column.
Value
A data frame containing the following columns: 'True_Positive_Rate' and 'False_Positive_Rate'.
Author(s)
Alex T. Kalinka, alex.kalinka@cancer.org.uk
alex-kalinka-cruk/fgcQC documentation built on June 23, 2020, 9:05 p.m.
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Description Usage Arguments Value Author(s)
Description
Adds TPR and FPR columns to a data frame containing TP and a score metric (e.g. Bayes factors).
Usage
1 |
Arguments
data |
A data frame containing a 'TP' and score column. |
score_col |
A character string naming the column to be used as a score column. |
Value
A data frame containing the following columns: 'True_Positive_Rate' and 'False_Positive_Rate'.
Author(s)
Alex T. Kalinka, alex.kalinka@cancer.org.uk
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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