My guess is `area under the ROC curve'. There's the roc package in
BioConductor that I believe can compute this.
Andy
From: Spencer Graves
What's AUC? If you mean AIC (Akaike Information
Criterion), and
if you fit logistic regression using glm, the help file
says that glm
At 17:07 15/12/2004, Spencer Graves wrote:
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
Roman
If I understand your question You have 2 ROC curve from same dataset. In
this case you can use a
Joe Nocera wrote:
I believe that Roman is referring to AUC as the Area Under Curve from a Receiver
Operating Characteristic.
If this indeed your quantity of interest - it can be calculated in R. You can
download
code at:
http://www.bioconductor.org/repository/release1.5/package/Win32/
and/or
What's AUC? If you mean AIC (Akaike Information Criterion), and
if you fit logistic regression using glm, the help file says that glm
returns an object of class glm, which is a list containing among other
things an attribute aic. For example, suppose you fit a model as follows:
]
Cc: [EMAIL PROTECTED]
Subject: Re: [R] AUC for logistic regression [was: (no subject)]
What's AUC? If you mean AIC (Akaike Information
Criterion), and
if you fit logistic regression using glm, the help file
says that glm
returns an object of class glm, which is a list containing
I believe that Roman is referring to AUC as the Area Under Curve from a
Receiver
Operating Characteristic.
If this indeed your quantity of interest - it can be calculated in R. You can
download
code at:
http://www.bioconductor.org/repository/release1.5/package/Win32/
and/or
