[R] incomplete data analysis

Paul Heinrich Dietrich paul.heinrich.dietrich at gmail.com
Mon Feb 23 17:27:18 CET 2009


I like the mi package, or when it's too large I use the Amelia package.


evrim akar wrote:
> 
> Dear R users,
> 
> First of all, thank you for your help about goodness of fit tests.
> 
> I have another set of data and i am sure it is incomplete. I searched for
> incomplete data analysis with R but I could not find any suggestion, or
> method. Lets say (totally hypothetical situation) from a distribution you
> can generate a continuous random sample between the numbers 0 and 100. but
> I
> have data from 20 to 80 and the rest is missing. I suspect this data comes
> from the distribution I mentioned. If I use tests like ks.test or
> chi-square
> to test if the data comes from this distribution it says NO because it
> takes
> my sample as whole sample.
> 
> If there is any suggestion about the package I have to read, or function I
> have to use or I can modify, I would be very glad.
> 
> Thank you in advance.
> 
> PS:I would like to prevent any misunderstanding, I am not asking for a
> code.
> Maybe, I could not find the right words to search and I would appreciate
> any
> help (name of the package or search key words or even if it is possible or
> not...)
> 
> 	[[alternative HTML version deleted]]
> 
> ______________________________________________
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> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
> 
> 

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