2 Aug
2011
2 Aug
'11
12:23 p.m.
Hi Felipe,
Without more information about the data and the exact code you are using to
impute it, it is hard to know what is happening. It could be the case that
the NAs in your data are not coded correctly and therefore not recognized as
missing by R. You can check this by using:
sum(is.na(a.out$imputations[[1]]))
This code will tell you how many missing observations there are in the
(supposedly) imputed dataset. This number might be greater than zero if you
tagged certain variables as "idvars"---these variables are not imputed.
Cheers,
matt.
On Tue, Aug 2, 2011 at 11:48 AM, Luis Felipe Parra <
felipe.parra(a)quantil.com.co> wrote:
Hello, Thank you Matt. I am doing exactly this
a.out$imputations[[1]]
but I'am still getting NA's on this imputations. Do you know which migh be
the reason?
Thank you
Felipe Parra
On Tue, Aug 2, 2011 at 10:19 AM, Matt Blackwell <blackwel(a)fas.harvard.edu>wrote;wrote:
Hi Luis,
You want to make sure that you save the output to a name:
a.out <- amelia(y)
Once you do this, you can see your imputed datasets here:
a.out$imputations[[1]]
That is, for example, the first imputed dataset. You can access others by
changing the "1" to another number. Hope that helps.
Cheers,
matt.
On Thu, Jul 28, 2011 at 1:03 PM, Luis Felipe Parra <
felipe.parra(a)quantil.com.co> wrote:
Hello, I've just discovered amelia today and
I am trying to use to to
fill some missing values in the attached dataset. I am using amelia in R,
when I call amelia(y) I am getting my output with still some missing values.
Does somebody know what might be I doing wrong, or what might be going
on. Thank you
Felipe Parra