adschai at optonline.net
2007-Jun-04 06:02 UTC
[R] How to obtain coefficient standard error from the result of polr?
Hi - I am using polr. I can get a result from polr fit by calling result.plr <- polr(formula, data=mydata, method="probit"); However, from the 'result.plr', how can I access standard error of the estimated coefficients as well as the t statistics for each one of them? What I would like to do ultimately is to see which coefficients are not significant and try to refit the model again by excluding those variables out. I would appreciate if anyone could give some hint on this. Thank you. - adschai [[alternative HTML version deleted]]
Prof Brian Ripley
2007-Jun-04 06:53 UTC
[R] How to obtain coefficient standard error from the result of polr?
On Mon, 4 Jun 2007, adschai at optonline.net wrote:> Hi - I am using polr. I can get a result from polr fit by calling > > result.plr <- polr(formula, data=mydata, method="probit"); > > However, from the 'result.plr', how can I access standard error of the > estimated coefficients as well as the t statistics for each one of them?You do this from summary(result.plr), possibly via coef(summary(result.plr))> What I would like to do ultimately is to see which coefficients are not > significant and try to refit the model again by excluding those > variables out. I would appreciate if anyone could give some hint on > this. Thank you.There is a multiple comparisons problem in doing that, especially so if the coefficients refer to multi-level factors. Using stepAIC is better-supported.> - adschai > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at stat.math.ethz.ch 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. >-- Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595
Dimitris Rizopoulos
2007-Jun-04 07:05 UTC
[R] How to obtain coefficient standard error from the result ofpolr?
You need to call the summary() method to obtain the standard errors,
e.g.,
result.plr <- polr(formula, data = mydata, method = "probit", Hess
=
TRUE)
coef(summary(result.plr))
for checking which predictors are significant you also use stepAIC()
or the bootstrap version of it, i.e., boot.stepAIC() in the
`bootStepAIC' package, e.g.,
library(bootStepAIC)
boot.stepAIC(result.plr, data = mydata)
I hope it helps.
Best,
Dimitris
----
Dimitris Rizopoulos
Ph.D. Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven
Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/(0)16/336899
Fax: +32/(0)16/337015
Web: http://med.kuleuven.be/biostat/
http://www.student.kuleuven.be/~m0390867/dimitris.htm
----- Original Message -----
From: <adschai at optonline.net>
To: <r-help at stat.math.ethz.ch>
Sent: Monday, June 04, 2007 8:02 AM
Subject: [R] How to obtain coefficient standard error from the result
ofpolr?
> Hi - I am using polr. I can get a result from polr fit by calling
>
> result.plr <- polr(formula, data=mydata, method="probit");
>
> However, from the 'result.plr', how can I access standard error of
> the estimated coefficients as well as the t statistics for each one
> of them?
>
> What I would like to do ultimately is to see which coefficients are
> not significant and try to refit the model again by excluding those
> variables out. I would appreciate if anyone could give some hint on
> this. Thank you.
>
> - adschai
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at stat.math.ethz.ch 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.
>
Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm