add_ROC_derived_columns: Add ROC derived columns.
In sigr: Succinct and Correct Statistical Summaries for Reports
add_ROC_derived_columns R Documentation
Add ROC derived columns.
Description
Add ROC columns derived from sensitivity and specificity.
Usage
add_ROC_derived_columns(d, positive_prevalence)
Arguments
d
input data frame, must at lest of columns Sensitivity and Specificity
positive_prevalence
scalar, the prevalence of the positive class or prior odds
Value
extended data frame with more columns
Examples
d <- data.frame(pred = 1:4, truth = c(TRUE,FALSE,TRUE,TRUE))
roc <- build_ROC_curve(d$pred, d$truth)
add_ROC_derived_columns(roc, mean(d$truth))
sigr documentation built on Aug. 20, 2023, 9:06 a.m.
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| add_ROC_derived_columns | R Documentation |
Add ROC derived columns.
Description
Add ROC columns derived from sensitivity and specificity.
Usage
add_ROC_derived_columns(d, positive_prevalence)
Arguments
d |
input data frame, must at lest of columns Sensitivity and Specificity |
positive_prevalence |
scalar, the prevalence of the positive class or prior odds |
Value
extended data frame with more columns
Examples
d <- data.frame(pred = 1:4, truth = c(TRUE,FALSE,TRUE,TRUE))
roc <- build_ROC_curve(d$pred, d$truth)
add_ROC_derived_columns(roc, mean(d$truth))
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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