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 tr
but I am confused a little
Karl
- Ursprüngliche Mail
Von: David Winsemius
An: Karl Knoblick
CC: Greg Snow ; "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
On Aug 11, 2011, at 5:50 AM, Kar
Von: Greg Snow
An: Karl Knoblick ; "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 hypothesis
(chance, auc=0.5) and how to do your anal
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
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PL
Package pROC does the job - roc.test with parameter paired=F
Karl
- Ursprüngliche Mail
Von: Karl Knoblick
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 with the comparison of ROC
Package pROC does the job - roc.test withparameter paired=F
Karl
- Ursprüngliche Mail
Von: Karl Knoblick
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 uncorrelated ROC
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 comp
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 AU
Hallo!
Does anyone know a possibility to perform a sample size estimation for an
ANCOVA? Would be great!
Thanks
Karl
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PLEASE do read the posting guide http://www.R-pr
Thanks for the answers.
Does anybody have more examples than in the help of epiR? After the experience
of "proportion" and "cohort" I am somehow uncertain.
Karl
- Ursprüngliche Mail
Von: Thomas Lumley
An: Chuck Cleland
CC: Karl Knoblick ; r-h...@stat.m
Hallo!
Does anybody know what epiR calculates with method = "survival"?
library(epiR)
library(survival)
epi.studysize(treat = .65, control = .50, n = NA, sigma = NA,
power = 0.80, r = 1, conf.level = 0.95, sided.test = 2, method = "survival")
Because I found out that method "proportion" does n
Hallo!
Does anybody know how to calculate a sample size estimation for proportions
with continuity correction?
I only found EpiR which seems to calculate without continuity correction:
library(epiR)
epi.studysize(treat = .65, control = .50, n = NA, sigma = NA,
power = 0.80, r = 1, conf.level
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, cont
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.
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
Date: Tue, 27 Feb 2007 18:58:48 +0100
Hi R-users,
I want to calculate the sample size needed to carry out a 2-sample
p
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
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