Sensitivity {ModelGood} | R Documentation |
Compute sensitivity, specificity and predictive values
Sensitivity(x,event,cutoff,comparison=">=",...) Specificity(x,event,cutoff,comparison=">=",...) NPV(x,event,cutoff,comparison=">=",...) PPV(x,event,cutoff,comparison=">=",...)
x |
Either a binary 0,1 variable, or a numeric marker which is cut into binary. |
event |
Binary response variable. Either a 0,1 variable where 1 means 'event', or a factor where the second level means 'event'. |
cutoff |
When x is a numeric marker, it is compared to this cutoff to obtain a binary test. |
comparison |
How x is to be compared to the cutoff value |
... |
passed on to |
Confidence intervals are obtained with binom.test
list with Sensitivity, Specificity, NPV, PPV and confidence interval
Thomas A. Gerds <tag@biostat.ku.dk>
binom.test
set.seed(17) x <- rnorm(10) y <- rbinom(10,1,0.4) Sensitivity(x,y,0.3) Specificity(x,y,0.3) PPV(x,y,0.3) NPV(x,y,0.3) Diagnose(x,y,0.3)