sens {mada} | R Documentation |
Sensitivity, Specificity and False Positive Rate
Description
Calculate basic measures of diagnostic accuracy for a number of studies.
Usage
sens(x)
spec(x)
fpr(x)
Arguments
x |
a data frame with variables including |
Details
These functions are the basic building blocks of many procedures to assess diagnostic accuracy. For a decent summary of set of primary studies it is better to use madad
, for graphical summaries crosshair
and ROCellipse
are available.
Value
A numeric vector.
Author(s)
Philipp Doebler <philipp.doebler@googlemail.com>
See Also
madad
, crosshair
, link{ROC.ellipse}
Examples
data(AuditC)
plot(fpr(AuditC), sens(AuditC), main = "AUDIT-C data on ROC space",
ylab = "Sensitivity", xlab = "False Positive Rate")
[Package mada version 0.5.11 Index]