similar to: Function for AUC?

Hi list I tried to install package lattice on FreeBSD, but install.package() does not seem to find it in the repositories, even trying different mirrors. Could it be that lattice package is not available for FreeBSD? -- Armin Goralczyk, M.D. -- Universit?tsmedizin G?ttingen Abteilung Allgemein- und Viszeralchirurgie Rudolf-Koch-Str. 40 39099 G?ttingen -- Dept. of General Surgery University of

Hi list Maybe someone can help with the following problem (thanks in advance): In a function I have a plot and want to add symbols/text only when indicated by a logical vector (which was generated by the function before, not manually like in the following example): plot(1:10, 1:10) lv <- c(T,T,T,F,F,F,T,T,T,F) text(1:10, 1:10, '*', pos = 3) In this example the asterisk is plotted at

Hi: Yesterday I downloaded R and got it up and running on my PC without a hitch, not so when I tried to do the same on my Mac powerbook, using Mac OSX: version 10.4.11.. I have virtually no experience, so I can't tell what exactly went wrong. At first it appeared that the software loaded correctly, it seemed like I was able to install R , and I even successfully unpacked the

Hello (R-)Experts I hope someone can help with this problem concerning axis annotation of a lattice shingle plot. I want a plot with three shingles to display some laboratory value over time. In the first panel over the first few days, then in the next panel some months, and in the last panel some years. In the following minimal example the axis annotation will be in days, but I'd like to

Fedora Linux 8 R 2.6.1 Intel CPU I am trying to get started with R under Linux. It has been suggested to me that I run R under EMACS. I have looked at the CRAN website, and several other places to try to find an RPM for EMACS and, if I need it for ESS. I have not succeeded in finding one. Can someone tell me where to go to get the RPMs? If anyone would have a suggestion for an editor other than

Dear list Maybe someone can help with the following problem: I have a source file containing the following code for plotting: pdf(file = 'data/mario/boxplot.pdf') bwplot(sig100 ~ target | group, data = fish, main = 'Boxplot der Signale in 100 Zellen nach Gruppe', xlab = '', ylab = 'Anzahl der Signale') dev.off() pdf(file = 'data/mario/xyplot.pdf')

Hello, Sorry for my english, in a R function, I want to read HTML files to analyse the text. Do somebody now, how can i read the text only in txt Foirmat... Thanks -- View this message in context: http://www.nabble.com/HTML-reading%2C-tf4447190.html#a12688719 Sent from the R help mailing list archive at Nabble.com.

Hi I constructed a mixed-effects model from longitudinal repeated measurements of lab values in 22 patients seperated into two groups with the groups as fixed effect using lme. I thought about using the jackknife procedure, i. e., removing any one subject and calculating the fixed effect, to assess the stability of the fixed effect and thereby validate the model. I suppose this has been done in

Hello, I posted this question last week, but received no feedback. Sorry for the long post , but I'm trying to give relevant detail at once. If somebody cares to take a look, it will be very much appreciated. thanks again cl . ---------------------- Remitido por Claudio Lapidus/BsAs/Telecom/AR con fecha 10/09/2002 13.04 ---------------------------Enviado por:

Hi list, I want to use the p-value from the survdiff function (package survival) to reuse within a function in a Kaplan-Meier plot. The p-value is somehow not a component of the value list ?! Thanks in advance -- A. Goralczyk G?ttingen, Ger.

Dear group, I have noticed that the MacOS X binary for lme4 is not available on CRAN at the moment. I am aware that it may be possible to install from source but I am not very familiar with that procedure and would rather avoid it. But I need the package for a statistics course next week. So can anybody give an update about the situation with the MacOS X binaries? Will it be resolved within the

Dear WizaRds, This is mostly a statistics question, but I'm figuring that R is the right solution (even before I start!) I have some bio data of heart rate versus time (rats taken from resting to maximal heart rate). I want to regress heart rate on time. The data have been normalized such that resting heart rate is zero at time=0, so that all curves intersect at the origin (and at the origin

Hi, there. Suppose I already have sensitivities and specificities. What is the quick R-function to calculate AUC for the ROC plot? There seem to be many R functions to calculate AUC. Thanks. Yulei [[alternative HTML version deleted]]

Dear all, I am using the ROCR library to compute the AUC and also the Hmisc library to compute the C-index of a predictor and a group variable. The results of AUC and C-index are similar and give a value of about 0.57. The Wilcoxon p-value is <0.001! Why the AUC is showing small value and the p-value is high significant? The AUC is based on Wilcoxon calculation? Many thanks, Lina

I am doing a simulation with a relatively large data set (20,000 observations) for which I want to calculate the area under the Receiver Operator Curve (AUC) for many parameter combinations. I am using the ROC library and the following commands to generate each AUC: rocobj=rocdemo.sca(truth = ymis, data = model$fitted.values, rule = dxrule.sca) #generation of observed ROC object

Dear List, I am trying to assess the prediction accuracy of an ordinal model fit with LRM in the Design package. I used predict.lrm to predict on an independent dataset and am now attempting to assess the accuracy of these predictions. >From what I have read, the AUC is good for this because it is threshold independent. I obtained the AUC for the fit model output from the c score (c =

Packages pROC and ROCR both calculate/approximate the Area Under (Receiver Operator) Curve. However the results are different. I am computing a new variable as a predictor for a label. The new variable is a (non-linear) function of a set of input values, and I'm checking how different parameter settings contribute to prediction. All my settings are predictive, but some are better. The AUC i

Hello all I would like to visualize the hazard ratios of a cox proportional hazards model. I have seen some good examples in the New England Journal of Medicine: http://content.nejm.org/cgi/content/short/353/26/2747/F3 http://content.nejm.org/cgi/content/short/350/26/2654/F2 (I hope these are open access, but I am not sure) And something similar in the book 'R Graphics' by Paul

Dear R-philes, I am plotting ROC curves for several cross-validation runs of a classifier (using the function below). In addition to the average AUC, I am interested in obtaining a confidence interval for the average AUC. Is there a straightforward way to do this via the ROCR package? plot_roc_curve <- function(roc.dat, plt.title) { #print(str(vowel.ROC)) pred <-

Hi, I would like to compare differences in AUC from 2 different models, glm and gam for predicting presence / absence. I know that in theory the model with a higher AUC is better, but what I am interested in is if statistically the increase in AUC from the glm model to the gam model is significant. I also read quite extensive discussions on the list about ROC and AUC but I still didn't find