Re: [R] Logistic Regression - Variable Selection Methods With Prediction
Can I atleast get help with what pacakge to use for logistic
regression with all possible models and do prediction. I know i can
use regsubsets but i am not sure if it has any prediction functions to
go with it.
Thanks
On Oct 25, 6:54 pm, RAJ dheerajathr...@gmail.com wrote:
Hello,
I am pretty new to R, I have always used SAS and SAS products. My
target variable is binary ('Y' and 'N') and i have about 14 predictor
variables. My goal is to compare different variable selection methods
like Forward, Backward, All possible subsests. I am using
misclassification rate to pick the winner method.
This is what i have as of now,
Reg - glm (Graduation ~., DFtrain,family=binomial(link=logit))
step - extractAIC(Reg, direction=forward)
pred - predict(Reg, DFtest,type=response)
mis - mean({pred 0.5} != {DFtest[,Graduation] == Y})
This program actually works but I needed to check to make sure am
doing this right. Also, I am getting the same misclassification rates
for all different methods.
I also tried to use
Reg - leaps(Graduation ~., DFtrain)
pred - predict(Reg, DFtest,type=response)
mis - mean({pred 0.5} != {DFtest[,Graduation] == Y})
#print(summary(mis))
which doesnt work
and
Reg - regsubsets(Graduation ~., DFtrain)
pred - predict(Reg, DFtest,type=response)
mis - mean({pred 0.5} != {DFtest[,Graduation] == Y})
#print(summary(mis))
The Regsubsets will work but the 'predict' function does not work with
it. Is there any other way to do predictions when using regsubsets
Any help is appreciated.
Thanks,
__
r-h...@r-project.org mailing listhttps://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guidehttp://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
__
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Re: [R] Logistic Regression - Variable Selection Methods With Prediction
Try the glm package Steve Friedman Ph. D. Ecologist / Spatial Statistical Analyst Everglades and Dry Tortugas National Park 950 N Krome Ave (3rd Floor) Homestead, Florida 33034 steve_fried...@nps.gov Office (305) 224 - 4282 Fax (305) 224 - 4147 __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Logistic Regression - Variable Selection Methods With Prediction
Hi, On Wed, Oct 26, 2011 at 12:35 PM, RAJ dheerajathr...@gmail.com wrote: Can I atleast get help with what pacakge to use for logistic regression with all possible models and do prediction. I know i can use regsubsets but i am not sure if it has any prediction functions to go with it. Maybe you could try glmnet instead. It doesn't give you all possible models, but rather the best one at a given value for the penalty (lambda) parameter. HTH, -steve -- Steve Lianoglou Graduate Student: Computational Systems Biology | Memorial Sloan-Kettering Cancer Center | Weill Medical College of Cornell University Contact Info: http://cbio.mskcc.org/~lianos/contact __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Logistic Regression - Variable Selection Methods With Prediction
Check glmulti package for all subset selection.
Weidong Gu
On Wed, Oct 26, 2011 at 12:35 PM, RAJ dheerajathr...@gmail.com wrote:
Can I atleast get help with what pacakge to use for logistic
regression with all possible models and do prediction. I know i can
use regsubsets but i am not sure if it has any prediction functions to
go with it.
Thanks
On Oct 25, 6:54 pm, RAJ dheerajathr...@gmail.com wrote:
Hello,
I am pretty new to R, I have always used SAS and SAS products. My
target variable is binary ('Y' and 'N') and i have about 14 predictor
variables. My goal is to compare different variable selection methods
like Forward, Backward, All possible subsests. I am using
misclassification rate to pick the winner method.
This is what i have as of now,
Reg - glm (Graduation ~., DFtrain,family=binomial(link=logit))
step - extractAIC(Reg, direction=forward)
pred - predict(Reg, DFtest,type=response)
mis - mean({pred 0.5} != {DFtest[,Graduation] == Y})
This program actually works but I needed to check to make sure am
doing this right. Also, I am getting the same misclassification rates
for all different methods.
I also tried to use
Reg - leaps(Graduation ~., DFtrain)
pred - predict(Reg, DFtest,type=response)
mis - mean({pred 0.5} != {DFtest[,Graduation] == Y})
#print(summary(mis))
which doesnt work
and
Reg - regsubsets(Graduation ~., DFtrain)
pred - predict(Reg, DFtest,type=response)
mis - mean({pred 0.5} != {DFtest[,Graduation] == Y})
#print(summary(mis))
The Regsubsets will work but the 'predict' function does not work with
it. Is there any other way to do predictions when using regsubsets
Any help is appreciated.
Thanks,
__
r-h...@r-project.org mailing listhttps://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guidehttp://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Re: [R] Logistic Regression - Variable Selection Methods With Prediction
You mean the glm() _function_ in the stats package. ?glm (just to avoid confusion) -- Bert On Wed, Oct 26, 2011 at 10:31 AM, steve_fried...@nps.gov wrote: Try the glm package Steve Friedman Ph. D. Ecologist / Spatial Statistical Analyst Everglades and Dry Tortugas National Park 950 N Krome Ave (3rd Floor) Homestead, Florida 33034 steve_fried...@nps.gov Office (305) 224 - 4282 Fax (305) 224 - 4147 __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. -- Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Logistic Regression - Variable Selection Methods With Prediction
The reason that you are not likely getting replies is that what you propose to
do is considered a poor way of building models.
You need to get out of the SAS Mindset.
I would suggest you obtain a copy of Frank Harrell's book:
http://www.amazon.com/exec/obidos/ASIN/0387952322/
and then consider using his 'rms' package on CRAN to engage in modeling
building strategies and validation.
Regards,
Marc Schwartz
On Oct 26, 2011, at 11:35 AM, RAJ wrote:
Can I atleast get help with what pacakge to use for logistic
regression with all possible models and do prediction. I know i can
use regsubsets but i am not sure if it has any prediction functions to
go with it.
Thanks
On Oct 25, 6:54 pm, RAJ dheerajathr...@gmail.com wrote:
Hello,
I am pretty new to R, I have always used SAS and SAS products. My
target variable is binary ('Y' and 'N') and i have about 14 predictor
variables. My goal is to compare different variable selection methods
like Forward, Backward, All possible subsests. I am using
misclassification rate to pick the winner method.
This is what i have as of now,
Reg - glm (Graduation ~., DFtrain,family=binomial(link=logit))
step - extractAIC(Reg, direction=forward)
pred - predict(Reg, DFtest,type=response)
mis - mean({pred 0.5} != {DFtest[,Graduation] == Y})
This program actually works but I needed to check to make sure am
doing this right. Also, I am getting the same misclassification rates
for all different methods.
I also tried to use
Reg - leaps(Graduation ~., DFtrain)
pred - predict(Reg, DFtest,type=response)
mis - mean({pred 0.5} != {DFtest[,Graduation] == Y})
#print(summary(mis))
which doesnt work
and
Reg - regsubsets(Graduation ~., DFtrain)
pred - predict(Reg, DFtest,type=response)
mis - mean({pred 0.5} != {DFtest[,Graduation] == Y})
#print(summary(mis))
The Regsubsets will work but the 'predict' function does not work with
it. Is there any other way to do predictions when using regsubsets
Any help is appreciated.
Thanks,
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
[R] Logistic Regression - Variable Selection Methods With Prediction
Hello,
I am pretty new to R, I have always used SAS and SAS products. My
target variable is binary ('Y' and 'N') and i have about 14 predictor
variables. My goal is to compare different variable selection methods
like Forward, Backward, All possible subsests. I am using
misclassification rate to pick the winner method.
This is what i have as of now,
Reg - glm (Graduation ~., DFtrain,family=binomial(link=logit))
step - extractAIC(Reg, direction=forward)
pred - predict(Reg, DFtest,type=response)
mis - mean({pred 0.5} != {DFtest[,Graduation] == Y})
This program actually works but I needed to check to make sure am
doing this right. Also, I am getting the same misclassification rates
for all different methods.
I also tried to use
Reg - leaps(Graduation ~., DFtrain)
pred - predict(Reg, DFtest,type=response)
mis - mean({pred 0.5} != {DFtest[,Graduation] == Y})
#print(summary(mis))
which doesnt work
and
Reg - regsubsets(Graduation ~., DFtrain)
pred - predict(Reg, DFtest,type=response)
mis - mean({pred 0.5} != {DFtest[,Graduation] == Y})
#print(summary(mis))
The Regsubsets will work but the 'predict' function does not work with
it. Is there any other way to do predictions when using regsubsets
Any help is appreciated.
Thanks,
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
