Displaying 20 results from an estimated 10000 matches similar to: "[pROC] roc.test returns "NA" p-value..."
2006 Mar 20
1
How to compare areas under ROC curves calculated with ROC R package
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
2011 Mar 29
1
plotting several ROC curves on the same graph
Hello
I am trying to make a graph of 10 different lines built each from 4
different
segments and to add a darker line that will represent the average of all
graphs
- all in the same plot.Actually each line is a ROC plot
The code I'm using for plotting one line is as follows:
logit.roc.plot <- function(r, title="ROC curve") {
old.par <- par(no.readonly = TRUE);
2011 Mar 31
0
pROC 1.4.3: compare two ROC curves in R
Dear R users,
pROC is a package to compare, visualize, and smooth receiver operating
characteristic (ROC) curves.
The package provides the following features:
* Partial or full area under the curve (AUC) computation
* Comparison of two ROC curves (curves and AUC)
* Calculating and plotting confidence intervals
* Smoothing of the ROC curve
* Coordinates extraction ('coords' function).
2011 Mar 31
0
pROC 1.4.3: compare two ROC curves in R
Dear R users,
pROC is a package to compare, visualize, and smooth receiver operating
characteristic (ROC) curves.
The package provides the following features:
* Partial or full area under the curve (AUC) computation
* Comparison of two ROC curves (curves and AUC)
* Calculating and plotting confidence intervals
* Smoothing of the ROC curve
* Coordinates extraction ('coords' function).
2017 Jun 26
0
Jagged ROC curves?
> On Jun 26, 2017, at 11:40 AM, Brian Smith <bsmith030465 at gmail.com> wrote:
>
> Hi,
>
> I was trying to draw some ROC curves (prediction of case/control status),
> but seem to be getting a somewhat jagged plot. Can I do something that
> would 'smooth' it somewhat? Most roc curves seem to have many incremental
> changes (in x and y directions), but my plot
2017 Jun 26
3
Jagged ROC curves?
Hi,
I was trying to draw some ROC curves (prediction of case/control status),
but seem to be getting a somewhat jagged plot. Can I do something that
would 'smooth' it somewhat? Most roc curves seem to have many incremental
changes (in x and y directions), but my plot only has 4 or 5 steps even
though there are 22 data points. Should I be doing something differently?
How can I provide a
2011 Mar 13
1
use of ROCR package (ROC curve / AUC value) in a specific case versus integral calculation
Hello,
I would like to use the ROCR package to draw ROC curves and compute AUC
values.
However, in the specific context of my application, the true positive
rates and false positive rates are already provided by some upstream method.
Of course, I can draw a ROC plot with the following command :
plot(x=FPrate, y=TPrate, "o", xlab="false positive rate", ylab="true
2006 Mar 15
1
How to compare areas under ROC curves calculated with ROCR 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
2005 Sep 22
2
Survey of ROC AUC / wilcoxon test functions
Hi,
I was lately 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
2012 Jan 30
3
ROC curve
Hello all,
I am very new to R and i am facing two problems. First i didn't succeed changing the konsole language in english even after trying the line command set language='en'.
I would like to plot ROC curves. I have a serie of 10 threshold tests that i do for 10 patients. The prediction for the patients is always the same but the status can change given to the considered threshold.
2004 Nov 30
3
About ROC curves
Hi, Dear all R users:
Does someone know whether R can calculate the Receiver Operating
Characteristic (ROC) Curves? I didn't find it from the packages.
Thanks a lot.
--- Xin
2005 Dec 15
3
Name conflict between Epi and ROC packages
The name conflicts in Epi and ROC packages (2 'ROC' functions are the
problem) cause the following code
to work once, but not twice:
library(MASS); data(cats);
x = cats[,2]
y = ifelse(cats[,1]=='F',0,1)
library(Epi); ROC(x,y,grid=0)$AUC
library(ROC); AUC(rocdemo.sca(y, x, dxrule.sca))
What is the standard way of resolving name conflicts? Ask maintainers to
resolve
2006 Nov 06
2
Correlated ROC curves
Hi,
Is there any package or code to compare and display correlated ROC curves in
R?
Thanks,
Reza
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2003 Nov 03
1
ROC with GLM?
Hello R-List:
Does anybody have code to optimize a logistic regression using ROC
curves? I've seen S+ code that does it but never in R.
Thanks.
__________________________________________________
You Rock! Your E-mail should, too. Visit Rock.com!
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2005 Jul 19
1
ROC curve with survival data
Hi everyone,
I am doing 5 years mortality predictive index score with survival analysis using a Cox proportional hazard model where I have a continous predictive variable and a right censored response which is the mortality, and the individuals were followed a maximum of 7 years.
I'd like to asses the discrimination ability of survival analysis Cox model by computing a ROC curve and area
2007 Dec 31
2
help on ROC analysis
Dear all,
Some functions like 'ROC(Epi)' can be used to perform ROC analyssi, but it
needs us to specify the fitting model in the argument. Now i have got the
predicted p-values (0,1) for the 0/1 response variable using some other
approach, see the following example dataset:
id mark predict.pvalue
1 1 0.927
2 0 0.928
3 1 0.928
..................
2008 Oct 31
4
how to compute a roc curve
Hi,
I'm trying to set up a prediction software, now i testing the performance
of my method, so i need to calculate a ROC curve, specially auc, cut-off,
sens and spec, i just looking at ROCH package, but it's a mass for me, i'm
not a math guy and I'm getting lost
Could any of you recommend me an easy-to-use package to do this task? i just
have a list of positive/negative samples
2013 Jul 01
1
Missing data problem and ROC curves
Hello all,
Trying to get this piece of code to work on my data set. It is from
http://www.itc.nl/personal/rossiter.
logit.roc <- function(model, steps=100)
{
field.name <- attr(attr(terms(formula(model)), "factors"),
"dimnames")[[1]][1]
eval(parse(text=paste("tmp <- ", ifelse(class(model$data) == "data.frame",
"model$data$",
2005 Nov 25
3
obtaining a ROC curve
Hello,
I have a classification tree. I want to obtain a ROC curve for this test. What is the easiest way to obtain one?
-Anjali
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2007 Jul 30
1
help with ROC curve
Hi
I'm new to stats and R, so can you please help me or guide me building
ROC curve in an elaborate way with codes
I loaded ROCR package, but I'm not sure how to use it.
Requirement
To build ROC curve using only PSA(variable) alone of the original cohort
against the ROC of the Model of the original cohort.
It would be really great if you could help me with this.
Thanks