Calculate basic measures of diagnostic accuracy for a number of studies.
sens(x)
spec(x)
fpr(x)A numeric vector.
a data frame with variables including TP, FN, FP, TN, alternatively a matrix with column names including these.
Philipp Doebler <philipp.doebler@googlemail.com>
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.
madad, crosshair, link{ROC.ellipse}
data(AuditC)
plot(fpr(AuditC), sens(AuditC), main = "AUDIT-C data on ROC space",
ylab = "Sensitivity", xlab = "False Positive Rate")
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