Re: [R] EM for missing data

2012-07-23 Thread Jie
r of Anthropology > Texas A&M University > College Station, TX 77843-4352 > > > > -Original Message- > > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- > > project.org] On Behalf Of ya > > Sent: Sunday, July 22, 2012 5:11 AM > &g

Re: [R] EM for missing data

2012-07-23 Thread David L Carlson
Behalf Of ya > Sent: Sunday, July 22, 2012 5:11 AM > To: r-help > Subject: Re: [R] EM for missing data > > hi Greg, David, and Tal, > > Thank you very much for the information. > > I found this in SPSS 17.0 missing value manual: > > EM Method > > This method a

Re: [R] EM for missing data

2012-07-22 Thread ya
Greg Snow Date: 2012-07-21 23:35 To: xinxi813 CC: r-help Subject: Re: [R] EM for missing data The EM algorithm does not impute missing data, rather it estimates parameters when you have missing data (those parameters can then be used to impute the missing values, but that is separate from the EM algor

Re: [R] EM for missing data

2012-07-21 Thread Greg Snow
The EM algorithm does not impute missing data, rather it estimates parameters when you have missing data (those parameters can then be used to impute the missing values, but that is separate from the EM algorithm). If you create a dataset that has missing values imputed (a single time) and then an

Re: [R] EM for missing data

2012-07-21 Thread Tal Galili
Hello Ya. I am no expert, so I am eager to read suggestions from other people in the mailing list. But just a few pointers I am (somewhat) sure of - You can try using this package: http://cran.r-project.org/web/packages/imputation/imputation.pdf And use something like kNNImpute. KNN solving is

[R] EM for missing data

2012-07-21 Thread ya
Hi list, I am wondering if there is a way to use EM algorithm to handle missing data and get a completed data set in R? I usually do it in SPSS because EM in SPSS kind of "fill in" the estimated value for the missing data, and then the completed dataset can be saved and used for further analy