Hi
I did validation for prediction by logistic regression according to following:
validationsize - 23
set.seed(1)
random-runif(123)
order(random)
nrprofilesinsample-sort(order(random)[1:100])
profilesample - data[nrprofilesinsample,]
profilevalidation - data[-nrprofilesinsample,]
Hi,
first of all, you shouldn't backtransform your prediction, use the option
type=response instead :
salichpred-predict(salic.lr, newdata=profilevalidation,type=response)
limit - 0.5
salichpredcat - ifelse(salichpredlimit,0,1) # prediction of categories.
Read in on sensitivity, specificity
On 05/26/2010 07:00 AM, Joris Meys wrote:
Hi,
first of all, you shouldn't backtransform your prediction, use the option
type=response instead :
salichpred-predict(salic.lr, newdata=profilevalidation,type=response)
limit- 0.5
salichpredcat- ifelse(salichpredlimit,0,1) # prediction of
jorism...@gmail.com
Subject: Re: [R] validation logistic regression
To: azam jaafari azamjaaf...@yahoo.com
Cc: r-help@r-project.org
Date: Wednesday, May 26, 2010, 5:00 AM
Hi,
first of all, you shouldn't backtransform your prediction, use the option
type=response instead :
salichpred-predict
tell
R that omit one by one data? Is validationsize=100?
Thanks alot
Azam
--- On Wed, 5/26/10, Joris Meysjorism...@gmail.com wrote:
From: Joris Meysjorism...@gmail.com
Subject: Re: [R] validation logistic regression
To: azam jaafariazamjaaf...@yahoo.com
Cc: r-help@r-project.org
Date
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