13 Nov
2014
13 Nov
'14
10:13 p.m.
I would like to calculate imputed values for the cases that are complete in
my data set but I am not sure how to do this.
I do not want thousands of overimputations, just one imputed value for each
complete case in each imputed data set (in the same way as for the missing
cases). How do I do this? I have tried using 'overimp' with the
'amelia'
command but it is not working.
14 Nov
14 Nov
2:53 p.m.
New subject: Calculating m imputed values for each complete case in data set
Hi Mil,
I'm not sure I know what you want to do. Do you want to do a leave-one-out
approach and overimpute each individual cell at a time? Or do you want to
overimpute all the data at the same time. The latter isn't possible since
there wouldn't be any data to impute.
A overimputation one-at-a-time strategy could be done, but you'd have to
rerun Amelia each time with overimp set differently each time. Note that
there is a bug in amelia on CRAN right now that makes overimp sometimes not
work. This should be fixed in the next version of Amelia, to be sent to
CRAN in the next few days.
Hope that helps!
Cheers,
Matt
On Thu Nov 13 2014 at 10:13:47 PM Mil Jacobs <mil(a)miljacobs.com.au> wrote:
I would like to calculate imputed values for the cases
that are complete
in my data set but I am not sure how to do this.
I do not want thousands of overimputations, just one imputed value for
each complete case in each imputed data set (in the same way as for the
missing cases). How do I do this? I have tried using 'overimp' with the
'amelia' command but it is not working.
--
Amelia mailing list served by HUIT
[Un]Subscribe/View Archive: http://lists.gking.harvard.edu/?info=amelia
More info about Amelia: http://gking.harvard.edu/amelia
Amelia mailing list
Amelia(a)lists.gking.harvard.edu
To unsubscribe from this list or get other information:
https://lists.gking.harvard.edu/mailman/listinfo/amelia
9:41 p.m.
New subject: Calculating m imputed values for each complete case in data set
Hi Matt,
Basically what I want to do is a post estimation type command. I want to
first impute all the missing values and then use the model to calculate
theoretical 'imputed' values for the complete cases. However, I only want
m imputed values for each complete case - not hundreds or thousands of
values.
What does *overimp *do exactly? How is it different from the *overimpute*
command? There is also something in the documentation called
*overvalues. *Could
you clarify each of these?
So far I have found Amelia very fast and easy to use - looking forward to
the updated version :)
Rgds,
On Sat, Nov 15, 2014 at 3:53 AM, Matt Blackwell <mblackwell(a)gov.harvard.edu>
wrote:
Hi Mil,
I'm not sure I know what you want to do. Do you want to do a leave-one-out
approach and overimpute each individual cell at a time? Or do you want to
overimpute all the data at the same time. The latter isn't possible since
there wouldn't be any data to impute.
A overimputation one-at-a-time strategy could be done, but you'd have to
rerun Amelia each time with overimp set differently each time. Note that
there is a bug in amelia on CRAN right now that makes overimp sometimes not
work. This should be fixed in the next version of Amelia, to be sent to
CRAN in the next few days.
Hope that helps!
Cheers,
Matt
On Thu Nov 13 2014 at 10:13:47 PM Mil Jacobs <mil(a)miljacobs.com.au> wrote:
I would like to calculate imputed values for the
cases that are complete
in my data set but I am not sure how to do this.
I do not want thousands of overimputations, just one imputed value for
each complete case in each imputed data set (in the same way as for the
missing cases). How do I do this? I have tried using 'overimp' with the
'amelia' command but it is not working.
--
Amelia mailing list served by HUIT
[Un]Subscribe/View Archive: http://lists.gking.harvard.edu/?info=amelia
More info about Amelia: http://gking.harvard.edu/amelia
Amelia mailing list
Amelia(a)lists.gking.harvard.edu
To unsubscribe from this list or get other information:
https://lists.gking.harvard.edu/mailman/listinfo/amelia
15 Nov
15 Nov
4:25 p.m.
New subject: Calculating m imputed values for each complete case in data set
Hi Mil,
It sounds like the overimpute() function is the one you want here, though,
it doesn't actually return the overimputations, just plots them. Here's a
rough breakdown of each:
overimpute() - for a particular variable, use the results of the imputation
model to generate imputations of each *observed* value, then plot the
results. You don't get the actual overimputations here.
overimp - passing a matrix of row/columns to this argument will tell Amelia
to treat these values as missing and impute them as part of the imputation.
overvalues - this is part of the Amelia output where we save the original
observed values being overimputed through 'overimp.'
Cheers,
Matt
On Fri, Nov 14, 2014 at 9:41 PM, Mil Jacobs <mil(a)miljacobs.com.au> wrote:
Hi Matt,
Basically what I want to do is a post estimation type command. I want to
first impute all the missing values and then use the model to calculate
theoretical 'imputed' values for the complete cases. However, I only want
m imputed values for each complete case - not hundreds or thousands of
values.
What does *overimp *do exactly? How is it different from the *overimpute*
command? There is also something in the documentation called *overvalues.
*Could you clarify each of these?
So far I have found Amelia very fast and easy to use - looking forward to
the updated version :)
Rgds,
On Sat, Nov 15, 2014 at 3:53 AM, Matt Blackwell <
mblackwell(a)gov.harvard.edu> wrote:
Hi Mil,
I'm not sure I know what you want to do. Do you want to do a
leave-one-out approach and overimpute each individual cell at a time? Or do
you want to overimpute all the data at the same time. The latter isn't
possible since there wouldn't be any data to impute.
A overimputation one-at-a-time strategy could be done, but you'd have to
rerun Amelia each time with overimp set differently each time. Note that
there is a bug in amelia on CRAN right now that makes overimp sometimes not
work. This should be fixed in the next version of Amelia, to be sent to
CRAN in the next few days.
Hope that helps!
Cheers,
Matt
On Thu Nov 13 2014 at 10:13:47 PM Mil Jacobs <mil(a)miljacobs.com.au>
wrote:
I would like to calculate imputed values for the
cases that are complete
in my data set but I am not sure how to do this.
I do not want thousands of overimputations, just one imputed value for
each complete case in each imputed data set (in the same way as for the
missing cases). How do I do this? I have tried using 'overimp' with the
'amelia' command but it is not working.
--
Amelia mailing list served by HUIT
[Un]Subscribe/View Archive: http://lists.gking.harvard.edu/?info=amelia
More info about Amelia: http://gking.harvard.edu/amelia
Amelia mailing list
Amelia(a)lists.gking.harvard.edu
To unsubscribe from this list or get other information:
https://lists.gking.harvard.edu/mailman/listinfo/amelia
3459
days inactive
3460
days old
amelia@lists.gking.harvard.edu
3 comments
2 participants
participants (2)
-
Matt Blackwell -
Mil Jacobs