Colleagues,
I have started working with Amelia, with the aim of imputing missing data for
time-series data.
Although I have succeeded in getting Amelia to perform the imputation, I have
not found any documentation describing how Amelia imputes time-series data. I
have read the basic Amelia do
Hi,
I have some trouble with Amelia.
I run the following:
all.data<-read.csv2("jldata2.csv", header = TRUE)
summary(all.data)
corp<-plm.data(all.data, cbind("country", "year"))
data.mi <- Amelia::amelia(corp, idvars=1, ts=2, cs=3,intercs=FALSE,nom=4,5,6,
7, 8, 13, 14,19:27, 61 , bounds=bounds,
Hi Lorenzo,
Perhaps rounding the values in the imputed dataset?
Jim
On Thu, Jan 7, 2016 at 8:42 AM, Lorenzo Isella
wrote:
> Dear All,
> I can provide a numerical example if needed.
> My problem is the following: I am using amelia to input some missing
> data in a dataset.
> The problem is that
Dear All,
I can provide a numerical example if needed.
My problem is the following: I am using amelia to input some missing
data in a dataset.
The problem is that some columns consist of integer numbers only and
amelia inputs some real numbers with decimals.
Is there a way to tell amelia that cert
I used AmeliaView to create 5 imputed datasets. I want to pool the 5 imputed
datasets into one to get pooled descriptive information (means, SD, min/max,
etc) that is needed to calculate RCI scores (corrected for measurement error
and practice effects).
The formula to calculate RCI is ((X2 - X
Hi,
I am glad you could get it to work. I don't really know I usually just
use xtable and any additional formatting I need done I do in my LaTeX
editor. Perhaps there isn't a nice tex format out of the box for MI data.
Once you write some nice code, you could keep reusing it or better yet
package
That's right!
Your advice is in the right direction and with little adjustments it did
the job. However, I admit it was tricky and the result looks a bit
artisanal and needs some polishing that I will do by hand in the tex code.
Is it possible that there is no way to get nicely latex formatted tabl
Seems you're after the pooled results. Would the following work?
library(Amelia)
library(Zelig)
library(xtable)
data(africa)
m = 10
imp1 <- amelia(x = africa,cs="country",m=m)
imp2 <- amelia(x = africa,cs="country",m=m)
lm.imputed1 <- zelig(gdp_pc ~ trade + civlib, model="ls",data = imp1)
lm.i
Dear Christopher,
I have multiply imputed two data-set (let's say Africa1 and Africa2).
Now I run 1 regression (let's call it: reg1) using the imputed data from
Africa1 and 1 regression (let's call it: reg2) using the imputed data from
Africa2. For these 2 regressions I use Zelig that automatical
Oh and are you looking for just the summarized results over all the imputed
runs? i thought you wanted them from each iteration.
On Sat, Aug 17, 2013 at 11:38 AM, Christopher Desjardins <
cddesjard...@gmail.com> wrote:
> What do you mean by results? Do you want just the estimated parameters?
>
What do you mean by results? Do you want just the estimated parameters? And
are you looking for one big table with all the estimated parameters from
all imputation runs?
Chris
On Sat, Aug 17, 2013 at 11:18 AM, Francesco Sarracino wrote:
> Hi Christopher,
> thanks for your reply. Unfortunately,
Does this do what you want?
library(Amelia)
library(Zelig)
library(stargazer)
library(xtable)
data(africa)
m = 10
imp1 <- amelia(x = africa,cs="country",m=m)
imp2 <- amelia(x = africa,cs="country",m=m)
lm.imputed1 <- zelig(infl ~ trade + civlib, model="ls",data = imp1)
lm.imputed2 <- zelig(infl
Hi Christopher,
thanks for your reply. Unfortunately, that's not what I am looking for. I
would like to have a table with the results of the two models (lm.imputed1
and lm.imputed2) in two separate columns.
According to stargazer syntax I should type something like:
stargazer(lm.imputed1, lm.impute
Dear listers,
I am running some OLS on multiply imputed data using Amelia.
I first imputed the data with Amelia.
than I run a OLS using Zelig to obtain a table of results accounting for
the multiply imputed data-sets. And I'd like to do this for various models.
Finally, I want to output all the mo
Hi Martin,
I helped to develop Amelia, so I can try to take a shot. In a
non-mathematical way, Amelia works by filling in missing values with
imputed values that are consistent with the observed relationships in the
data, plus some random noise. Thus, Amelia creates multiple imputed
datasets that
On Mon, Jan 7, 2013 at 4:29 PM, Martin wrote:
> Dear all.
>
> First of all, my english isn't verry good, but I hope I can convey my concern.
> I've a general question about the Amelia algorithm. I'm no mathematician or
> statistician, but I had to use R and impute and analyse some data, and Amelia
Dear all.
First of all, my english isn't verry good, but I hope I can convey my concern.
I've a general question about the Amelia algorithm. I'm no mathematician or
statistician, but I had to use R and impute and analyse some data, and Amelia
showed results that fitted my expectations. I'll have t
e number of imputations).
Jose
From: r-help-boun...@r-project.org [r-help-boun...@r-project.org] On Behalf Of
Elisa D'Arcangelo [darcangelo.el...@googlemail.com]
Sent: 30 October 2012 13:35
To: r-help@r-project.org
Subject: [R] Amelia imputation - col
Hi everybody,
I am quite new to data imputation, but I would like to use the R package '
Amelia II: A Program for Missing Data '. However, its unclear to me how
the input for amelia should look like:
I have a data frame consisting of numerous coulmns, which represent
different experimental condi
Easily fixed, Peter -
str(ad04)
'data.frame': 1195 obs. of 15 variables:
$ V040001 : num 1 2 3 4 5 6 7 8 9 10 ...
$ insurance: num 7 2 4 1 5 2 7 1 5 5 ...
$ jobs : num 7 3 4 1 6 5 7 5 4 7 ...
$ services : num 5 2 5 1 5 2 7 1 4 7 ...
$ ss : num 2 2 2 1 2 1 2 1 1 3 ...
$ wom
Sarah -
I have all the vars.. they all look sensible. I have been able to
trace the problem to NAs in the nominal variable, which is a bit
strange. The error that the program spits out is a class logical
equating error in presence of NAs etc. and hence was my hunch that it
was a bug.
On Wed, A
On 2012-04-18 11:18, Gaurav Sood wrote:
Using: Amelia::amelia
R version: 2.15
OS: Windows 7 Enterprise
data = National Election Studies (cross-sectional); mostly ordinal
variables, some nominal
summary(ad04)
insurance jobs services sswomen
Min.
Hi,
On Wed, Apr 18, 2012 at 2:18 PM, Gaurav Sood wrote:
> Using: Amelia::amelia
>
> R version: 2.15
> OS: Windows 7 Enterprise
>
> data = National Election Studies (cross-sectional); mostly ordinal
> variables, some nominal
>
> summary(ad04)
>
> insurance jobs services
I've had a little experience using the package, Amelia. Are you sure that
your nominal variables - race, south, etc - are in your ad04 data frame ?
David Freedman
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Sent from the R help mailing lis
Using: Amelia::amelia
R version: 2.15
OS: Windows 7 Enterprise
data = National Election Studies (cross-sectional); mostly ordinal
variables, some nominal
summary(ad04)
insurance jobs services sswomen
Min. :1.000 Min. :1.000 Min. :1.000 Min
Do you mean the Amelia package? Or a function named Amelia()?
What is your OS and version of R and package?
What are the commands you are using?
What do your data look like?
Can you provide a reproducible example?
Did you read the posting guide?
Your problem doesn't "seem like a bug" rather t
Hi,
Encountering the following error using Amelia -
Error in if (sum(non.vary == 0)) { :
argument is not interpretable as logical
In addition: Warning message:
In FUN(X[[34L]], ...) : NAs introduced by coercion
Seems like a bug.
__
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