similar to: About Mcneil Hanley test for a portion of AUC!

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 might be missing something but I thought that AUC was a measure for comparing ROC curves, so there is nothing else needed to "compare" them. The larger AUC is the higher correlation of 2 variables compared. No other measures or calculations are needed. Jarek Tuszynski -----Original Message----- From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch] On

Dear R-helper, I would like to compare the AUC of two logistic regression models (same population). Is it possible with R ? Thank you Roman Rouzier [[alternative HTML version deleted]]

Please help. I found the code in the archive. The author of this script says: "The first function (seROC) calculate the standard error of ROC curve, the second function (cROC) compare ROC curves." Can some one explain to me what are the na, nn and r parameters which are used as the input to the following two functions? Thanks much in advance. > From: Bernardo Rangel Tura >

Hi, I am quite new to R and I have two questions regarding ROCR. 1. I have tried to understand how to extract area-under-curve value by looking at the ROCR document and googling. Still I am not sure if I am doing the right thing. Here is my code, is "auc1" the auc value? " pred1 <- prediction(resp1,label1) perf1 <- performance(pred1,"tpr","fpr") plot(

Guys, I used Random Forest with a couple of data sets I had to predict for binary response. In all the cases, the AUC of the training set is coming to be 1. Is this always the case with random forests? Can someone please clarify this? I have given a simple example, first using logistic regression and then using random forests to explain the problem. AUC of the random forest is coming out to be

Dear sirs, I have tried to find a command to fit(plot) a regression line but I haven't found any command on the html.help. My question is if I am using a regression for instance reg<-lm(y~x) and I would like to make a regression line, to see how well my data is fit. Can you please help me with this?? Yours Sincerely Soheila Zad

Here is a snippet to show what i'm trying to do. library(randomForest) library(ROCR) library(caret) data(iris) iris <- iris[(iris$Species != "setosa"),] fit <- randomForest(factor(Species) ~ ., data=iris, ntree=50) train.predict <- predict(fit,iris,type="prob")[,2]

I am a novice user of R and am stumbling on how to order a dataset produced during my session. I have a 1863 row X 14 column dataset that I want to put out to a file. I want the output sorted by the first column and then by the second column both in ascending order. The first column is character and the second is numeric (I hope). I used an "as.numeric" function to assign that

Dear Specialists in R, May be somebody has experiment in using pakage for the book Quantitative Risk Management by McNeil? This package is writen in R. I have run this package for fitting the data to Nornal Inverse Gaussian distribution and fased with following problem. > Return<-read.csv("data.csv") > Transpose<-t(Return) > fit.NH(Transpose, case="NIG",

Hi, I recently bought a Nitram Elite 2005 UPS and i installed nut to monitor it. Unfortunatly, i often have timeout errors (20 timeout per days): Broadcast Message from aurelien at berkelium (no tty) at 18:05 CET... Communications with UPS Nitram at localhost lost Broadcast Message from aurelien at berkelium (no tty) at 18:05 CET... Communications with UPS Nitram(AT)localhost

Hi, I recently bought a Nitram Elite 2005 UPS and i installed nut to monitor it. Unfortunatly, i often have timeout errors (20 timeout per days): Broadcast Message from aurelien at berkelium (no tty) at 18:05 CET... Communications with UPS Nitram at localhost lost Broadcast Message from aurelien at berkelium (no tty) at 18:05 CET... Communications with UPS Nitram(AT)localhost

Hello, I am making some use of ROC curve analysis. I find much help on the mailing list, and I have used the Area Under the Curve (AUC) functions from the ROC function in the bioconductor project... http://www.bioconductor.org/repository/release1.5/package/Source/ ROC_1.0.13.tar.gz However, I read here... http://www.medcalc.be/manual/mpage06-13b.php "The 95% confidence interval for

I'm compiling syslinux 3.72 as part of a buildroot project and found that the compile fails due to gPXE using printf in a way that throws warnings, while specifying "-Wall -Werror" in the makefile. I'm not sure if this problem is related to the environment I'm compiling in or if it is actually a bug, however the attached patch resolves it for me. -- Regards Nick

Dear R Users, I am hoping you can help me. I have received code from a colleague who uses Matlab. I need to translate it into R. I am wondering if there is a randomization t-test (from non-parametric statistics) function already defined in R. (In Matlab the function is randtest.m.) ************************************************************************ ********** QUESTION: Is anyone

Dear list   I have 5 markers that can be used to detect an infection in combination. Could you please advise me how to use functions in ROCR/ other package to produce the ROC curve for a combination of markers?   I have used the following to get ROC statistics for each marker. pred <- prediction(y$marker1, y$infectn) perf <-performance(pred,"tpr","fpr")

Hi everybody, I recently bought a UPS Cyber Power DX600E ad I'm trying to manage it through Nut under FreeBSD. Unfortunately, usbhid-ups returns an error when I do: [root at berkelium /usr/local/etc/nut]# /usr/local/libexec/nut/usbhid-ups -u root -DD -a onduleur Network UPS Tools - Generic HID driver 0.34 (2.4.1) USB communication driver 0.31 debug level is '2'

Pleased to announce that the next version (2.3.0) of our package ?concurve? is out on CRAN (https://cran.r-project.org/package=concurve). In addition to plotting confidence (consonance) curves, it can now plot two functions next to one another to see the amount of overlap. It can also plot likelihood and deviance functions along with consonance densities and distributions. And it can utilize

Pleased to announce that the next version (2.3.0) of our package ?concurve? is out on CRAN (https://cran.r-project.org/package=concurve). In addition to plotting confidence (consonance) curves, it can now plot two functions next to one another to see the amount of overlap. It can also plot likelihood and deviance functions along with consonance densities and distributions. And it can utilize

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi All, Has anyone been successful in making ekiga's chat functionality work with Asterisk. This is a really neat feature and it would be awesome to finally see it working. - -- Alan Hanley FSF Member 4949 "No matter where you go , you're probably lost" -----BEGIN PGP SIGNATURE----- Version: GnuPG v1.4.6 (GNU/Linux) Comment: Using