Re: [R] missing data imputation - simulation
Many thenks to both of you:
Will have a look.
Birgit
Chuck Cleland wrote:
>
> On 6/4/2008 5:32 AM, Birgitle wrote:
>> My dataset contains missing data and I would like to do something like an
>> EM
>> algorithm or a Markov Chain Monte Carlo approach to get rid of the
>> missing
>> data.
>>
>> Is there a function for imputation or simulation of missing data apart
>> from
>> those in the randomForest library?
>>
>> Thanks in advance
>>
>> Birgit
>
> RSiteSearch("imputation", restrict="functions")
>
> RSiteSearch("{multiple imputation}", restrict="functions")
>
>return many relevant hits.
>
>> -
>> The art of living is more like wrestling than dancing.
>> (Marcus Aurelius)
>
> --
> Chuck Cleland, Ph.D.
> NDRI, Inc. (www.ndri.org)
> 71 West 23rd Street, 8th floor
> New York, NY 10010
> tel: (212) 845-4495 (Tu, Th)
> tel: (732) 512-0171 (M, W, F)
> fax: (917) 438-0894
>
> __
> 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.
>
>
-
The art of living is more like wrestling than dancing.
(Marcus Aurelius)
--
View this message in context:
http://www.nabble.com/missing-data-imputation---simulation-tp17642736p17644180.html
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__
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and provide commented, minimal, self-contained, reproducible code.
Re: [R] missing data imputation - simulation
Birgit, not knowing your data, I would recommend R-package "mice" or function aregImpute from R-package Hmisc as good multi-purpose tools. Regards, Ulrike -- View this message in context: http://www.nabble.com/missing-data-imputation---simulation-tp17642736p17643601.html Sent from the R help mailing list archive at Nabble.com. __ 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] missing data imputation - simulation
On 6/4/2008 5:32 AM, Birgitle wrote:
My dataset contains missing data and I would like to do something like an EM
algorithm or a Markov Chain Monte Carlo approach to get rid of the missing
data.
Is there a function for imputation or simulation of missing data apart from
those in the randomForest library?
Thanks in advance
Birgit
RSiteSearch("imputation", restrict="functions")
RSiteSearch("{multiple imputation}", restrict="functions")
return many relevant hits.
-
The art of living is more like wrestling than dancing.
(Marcus Aurelius)
--
Chuck Cleland, Ph.D.
NDRI, Inc. (www.ndri.org)
71 West 23rd Street, 8th floor
New York, NY 10010
tel: (212) 845-4495 (Tu, Th)
tel: (732) 512-0171 (M, W, F)
fax: (917) 438-0894
__
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] missing data imputation - simulation
My dataset contains missing data and I would like to do something like an EM algorithm or a Markov Chain Monte Carlo approach to get rid of the missing data. Is there a function for imputation or simulation of missing data apart from those in the randomForest library? Thanks in advance Birgit - The art of living is more like wrestling than dancing. (Marcus Aurelius) -- View this message in context: http://www.nabble.com/missing-data-imputation---simulation-tp17642736p17642736.html Sent from the R help mailing list archive at Nabble.com. __ 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.
