[R] 3D Graph Surface and single points (eg wireframe with points)

Hallo!   I just want to make a 3D plot of a surface of a cone and want to plot some single points around.   I tried wireframe but cannot find how to plot single points   I tried scatterplot3d but there the surface is not simple to plot. And: How can I rotate the point of view by the z-axis   I

Re: [R] Sample size AUC for ROC curves

but I am confused a little Karl  - Ursprüngliche Mail Von: David Winsemius dwinsem...@comcast.net An: Karl Knoblick karlknobl...@yahoo.de CC: Greg Snow greg.s...@imail.org; r-h...@stat.math.ethz.ch r-h...@stat.math.ethz.ch Gesendet: Samstag, den 13. August 2011, 2:18:37 Uhr Betreff

Re: [R] Sample size AUC for ROC curves

Von: Greg Snow greg.s...@imail.org An: Karl Knoblick karlknobl...@yahoo.de; r-h...@stat.math.ethz.ch r-h...@stat.math.ethz.ch Gesendet: Dienstag, den 9. August 2011, 19:45:12 Uhr Betreff: RE: [R] Sample size AUC for ROC curves If you know how to generate random data that represents your null

Re: [R] Compare AUC of uncorrelated ROC curves

Package pROC does the job - roc.test withparameter paired=F Karl - Ursprüngliche Mail Von: Karl Knoblick karlknobl...@yahoo.de An: r-h...@stat.math.ethz.ch Gesendet: Dienstag, den 21. Juni 2011, 23:19:17 Uhr Betreff: Compare AUC of uncorrelated ROC curves Hallo! I want to compare two

Re: [R] Differences between ROC curves

Package pROC does the job - roc.test with parameter paired=F Karl   - Ursprüngliche Mail Von: Karl Knoblick karlknobl...@yahoo.de An: r-h...@stat.math.ethz.ch Gesendet: Montag, den 27. Juni 2011, 12:19:48 Uhr Betreff: Differences between ROC curves Hallo! Can anybody help

[R] Sample size AUC for ROC curves

Hallo! Does anybody know a way to calculate the sample size for comparing AUC of ROC curves against 'by chance' with AUC=0.5 (and/or against anothe AUC)? Thanks! Karl __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help

[R] Differences between ROC curves

Hallo! Can anybody help with the comparison of ROC curves? I want to compare two uncorrelated ROC curves, i.e. the data sets of the two ROC curves are from different samples. One way to compare ROC curves seems to be the comparison of the AUCs. Although I found the package pROC with he

[R] Compare AUC of uncorrelated ROC curves

Hallo! I want to compare two uncorrelated ROC curves. One way seems to be the comparison of the AUCs. Although I found the package pROC with he comparison of correlated ROC curves, I did not find anything about the comparison of uncorrelated ROC curves. Does anybody know how to compare the

[R] Sample size ANCOVA

Hallo! Does anyone know a possibility to perform a sample size estimation for an ANCOVA? Would be great! Thanks Karl __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide

[R] Sample size calculation proportions with EpiR: Discrepancy to other calculators

Hallo! I have done a sample size calculation for proportions with EpiR. The input is: treatment group rate p=0.65 control group rate p=0.50 significance level 0.95 power 0.80 two-sided ration group 1 and 2: 1.0 I have done this in the following way: library(epiR) epi.studysize(treat = 0.65,

[R] Variable passed to function not used in function in select=... in subset

Hello! I have the problem that in my function the passed variable is not used, but the variable name of the dataframe itself - difficult to explain, but an easy example: TestFunc-function(df, group) {     print(names(subset(df, select=group))) } df1-data.frame(group=G1, visit=V1, value=0.9)

[R] Sample size for 2-sample proportion tests

Hallo! I found a question exactly as mine, but I did not found an answer. Therefore I post this again - hopefully there will be an answer! Thanks in advance! karl From: Berta ibanez Date: Tue, 27 Feb 2007 18:58:48 +0100 Hi R-users, I want to calculate the sample size needed to carry out a

[R] Sample size for reference data (with covariate)

Hello! Is there a possibilty in R to calculate the sample size for evaluation of reference values? Especially reference values with a covariate age and a factor gender? Any help will be appreciated. Thanks! Karl Heute schon einen Blick in die Zukunft von E-Mails wagen?