search for: auroc

...ately debugging parts of my 'colAUC' function in caTools package, and in a process looked into other packages for calculating Areas Under ROC Curves (AUC). To my surprise I found at least 6 other functions: * wilcox.test * AUC from ROC package, * performance from ROCR package, * auROC from limma package, * ROC from Epi package, * roc.area from verification package And I belive I found problems with 3 of them: 'ROC', 'auROC' & 'roc.area' I wrote short code to compare them all: # Compare calAUC with other functions designed for similar purpose...

...***************** . roccomp Y r1m1p r1m2p, graph summary . * FIGURE 3 - AU-ROC . ******************************************************************************** . roccomp Y r2m1p r2m2p, graph summary Abbreviations Y = The dependent (or responding) variable AUC = Area Under the Curve. AUROC = Area Under the Receiver Operating Characteristic curve. ROC = Receiver operating characteristic r1m1p = Pr(malaria) r1m2p = Predicted mean r1m3p = Predicted mean In addition, I saw in https://cran.r-project.org/web/packages/auRoc/index.html, and in https://www.rdocumentation.org/package...

Dear all, I try to compare the performances of several parameters to diagnose lameness in dogs. I have several ROC curves from the same dataset. I plotted the ROC curves and calculated AUC with the ROCR package. I would like to compare the AUC. I used the following program I found on R-help archives : From: Bernardo Rangel Tura Date: Thu 16 Dec 2004 - 07:30:37 EST

I'm using caret to assess classifier performance (and it's great!). However, I've found that my results differ between R2.* and R3.* - reported accuracies are reduced dramatically. I suspect that a code change to kernlab ksvm may be responsible (see version 5.16-24 here: http://cran.r-project.org/web/packages/caret/news.html). I get very different results between caret_5.15-61 +