Message-ID: <C3C38081-3D65-4C1A-B506-60C21959675D@comcast.net>
Date: 2011-11-07T12:39:02Z
From: David Winsemius
Subject: help with programming
In-Reply-To: <CAJ9=Xh6ztx8mTOYGGPLEigftqsoP4WpYWCN7OrVQbfxpb-MhjA@mail.gmail.com>
On Nov 7, 2011, at 6:30 AM, Jing Tian wrote:
>>
>> ?
>
> Dear moderators,
>
> Please help me encode the program instructed by follows.
> Thank u!
>
> Apply the methods introduced in Sections 4.2.1 and 4.2.2, say the
>> rank-based variable selection and BIC criterions, to the Boston
>> housing
>> data.
>>
> ? The Boston housing data contains 506 observations, and is publicly
> available in the R package mlbench (dataset ?BostonHousing?).
> ? The response variable Y is the median value of owner-occupied
> homes
> (MEDV) in each of the 506 census tracts in the Boston Standard
> Metropolitan
> Statistical Areas, and there are thirteen predictor variables.
> ? We are interested in the relationship between MEDV and the other
> predictor variables.
>
>> ? Setup your parametric model and use rank-based regression
>> methodology to
>> select and estimate the parameters.
Please read the Posting Guide and then use a search facility on your
browser to search out what it says about homework.
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>>
>
>
> Best regards,
> J.Tian
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
>
> and provide commented, minimal, self-contained, reproducible code.
David Winsemius, MD
West Hartford, CT