[R] Help R

[Jose Iparraguirre]

Hola Maria Teresa,

For multiple imputation, I would suggest the Amelia package by Gary King, James Honaker, and Matthew Blackwell, which uses the expectation-maximisation (EM) algorithm with bootstrap. Its excellent vignette has examples which should be more than enough for your needs. Do read very carefully the imputation-improving transformation section to deal with ordinal, nominal, etc., variables.

With regards to which variables to select, this goes beyond this R-help group, but the package vignette provides you with this short answer:

"It is crucial to include at least as much information as will be used in the analysis model. That is, any variable that will be in the analysis model should also be in the imputation model. This includes any transformations or interactions of variables that will appear in the analysis model.
In fact, it is often useful to add more information to the imputation model than will be present when the analysis is run. Since imputation is predictive, any variables that would increase predictive power should be included in the model, even if including them in the analysis model would produce bias in estimating a causal effect (such as for post-treatment variables) or collinearity would preclude determining which variable had a relationship with the dependent variable (such as including multiple alternate measures of GDP)." 

Hope this helps!

José

Prof. José Iparraguirre
Chief Economist
Age UK



-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Mª Teresa Martinez Soriano
Sent: 26 July 2013 09:36
To: r-help at r-project.org
Subject: [R] Help R

Hi to everyone, first of all thanks for this service, it is being very useful for me, thanks in 

advance.

I am new in R, so I suppose I could make really naive questions, I'm sorry.

I have to impute some missing values and I am trying to do it with VIM library trough Hot Deck 

imputation.

I writte:vmGUImenu(), and it opens a small window of: Visualization and Imputation of Missing Values 

and I select Imptation and Hot Deck and then one of the variables which I have to select is Select 

Variables to Build Domains.

I don't know which variables I have to select, I don't understand this. I have tried don't put 

anything and I get :

hotdeck(dataframe,variable=c("CRV.IE.2005","CRV.IE.2006","CRV.IE.2007","CRV.IE.2008","CRV.IE.2009","CR

V.IE.2010"),ord_var=c("CRV.IE.2001","CRV.IE.2002","CRV.IE.2003","CRV.IE.2004","CRV.IE.2005","CRV.IE.20

06","CRV.IE.2007","CRV.IE.2008","CRV.IE.2009","CRV.IE.2010"),domain_var=NULL,imp_suffix="_imp")

Mensajes de aviso perdido:

 In hotdeck(data, variable = vars, ord_var = sort, domain_var = domain,  

 Some NAs remained, maybe due to a too restrictive domain building!?

 In hotdeck(b, variable = c("CRV.IE.2005", "CRV.IE.2006", "CRV.IE.2007", Some NAs remained, maybe due 

to a too restrictive domain building!?


What should I  put in this variable??

Thanks in advance

Best regards

Teresa 		 	   		  
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