At 08:12 08/12/2006, Simon P. Kempf wrote:
>Dear R-Users,
>
>
>
>The following question is more of general nature than a merely technical
>one. Nevertheless I hope someone get me some answers.
>
>
I am in no sense an expert in this area but since
it seems that noone else has answered so far; I
[EMAIL PROTECTED] wrote:
> Hi,
>
> is it correct that "multiple-Imputation" like mice
> http://www.imputation.com can't understand as a standard data-mining
> task, beacuse i haven't a generalization mechanism perform the model on
> complete new and bigger dataset with a predict method!?
>
>
On 25-Sep-06 Eleni Rapsomaniki wrote:
> Hi
>
> I am trying to impute missing values for my data.frame. As I
> intend to use the complete data for prediction I am currently
> measuring the success of an imputation method by its resulting
> classification error in my training data.
>
> I have tried
You might find something useful at this web site:
http://www.multiple-imputation.com/
On 25/09/06, Eleni Rapsomaniki <[EMAIL PROTECTED]> wrote:
>
> Hi
>
> I am trying to impute missing values for my data.frame. As I intend to use the
> complete data for prediction I am currently measuring the succ
On Mon, 28 Jul 2003 08:18:09 -0400
Jonathan Baron <[EMAIL PROTECTED]> wrote:
> Thanks for the quick reply! One more question, below.
>
> On 07/27/03 22:20, Frank E Harrell Jr wrote:
> >On Sun, 27 Jul 2003 14:47:30 -0400
> >Jonathan Baron <[EMAIL PROTECTED]> wrote:
> >
> >> I have always avoided
Thanks for the quick reply! One more question, below.
On 07/27/03 22:20, Frank E Harrell Jr wrote:
>On Sun, 27 Jul 2003 14:47:30 -0400
>Jonathan Baron <[EMAIL PROTECTED]> wrote:
>
>> I have always avoided missing data by keeping my distance from
>> the real world. But I have a student who is doi
On Sun, 27 Jul 2003 14:47:30 -0400
Jonathan Baron <[EMAIL PROTECTED]> wrote:
> I have always avoided missing data by keeping my distance from
> the real world. But I have a student who is doing a study of
> real patients. We're trying to test regression models using
> multiple imputation. We di
Dear Jonck,
In addition, there are ports of both norm and mix in the
contributed-packages section of CRAN.
Regards,
John
At 07:48 PM 6/12/2003 -0400, Frank E Harrell Jr wrote:
On Thu, 12 Jun 2003 23:57:45 +0200
Jonck van der Kogel <[EMAIL PROTECTED]> wrote:
> Hi all,
> I'm currently working wit
On Thu, 12 Jun 2003 23:57:45 +0200
Jonck van der Kogel <[EMAIL PROTECTED]> wrote:
> Hi all,
> I'm currently working with a dataset that has quite a few missing
> values and after some investigation I figured that multiple imputation
> is probably the best solution to handle the missing data in m
There is also the mice package at http://www.multiple-imputation.com.
CRAN has package norm.
Simon.
Simon Blomberg, PhD
Depression & Anxiety Consumer Research Unit
Centre for Mental Health Research
Australian National University
http://www.anu.edu.au/cmhr/
[EMAIL PROTECTED] +61 (2) 6125 3379
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