AUC from ROC-curves
This function calculates the AUC (area under the curve) from ROC data in matrix of specificity and sensitivity values,
as provided in the output from summarizeForROC.
Note that numerous other packages also provide support for working with ROC-curves : Eg rocPkgShort,
ROCR, pROC or ROCit
AucROC(dat, useCol = c("spec", "sens"), silent = FALSE, callFrom = NULL)dat |
(matrix or data.frame) main inut containig sensitivity and specificity data (from |
useCol |
(character or integer) column names to be used: 1st for specificity and 2nd for sensitivity count columns |
silent |
(logical) suppress messages |
callFrom |
(character) allows easier tracking of message(s) produced |
matrix including imputed values or list of final and matrix with number of imputed by group (plus optional plot)
preparing ROC data summarizeForROC, (re)plot the ROC figure plotROC
set.seed(2019); test1 <- list(annot=cbind(spec=c(rep("b",35),letters[sample.int(n=3,
size=150,replace=TRUE)])), BH=matrix(c(runif(35,0,0.01),runif(150)),ncol=1))
roc1 <- summarizeForROC(test1,spec=c("a","b","c"))
AucROC(roc1)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.