Re: [R] getting basic descriptive stats off multiple imputation data

2011-10-18 Thread Michael Parent
able. > > For mi package to get individual copies of imputed data > > ?mi.completed > > HTH > > Weidong Gu > > On Tue, Oct 18, 2011 at 5:13 PM, Michael Parent > wrote: >> Hi, all, >> I'm running multiple imputation to handle missing data

[R] getting basic descriptive stats off multiple imputation data

2011-10-18 Thread Michael Parent
Hi, all, I'm running multiple imputation to handle missing data and I'm running into a problem. I can generate the MI data sets in both amelia and the mi package (they look fine), but I can't figure out how to get pooled results. The examples from the mi package, zelig, etc., all seem to go righ

Re: [R] using mean substitution

2011-10-17 Thread Michael Parent
ations. I'll be sure to be more accurate/specific in any future posts ;-) Thanks! Mike On Oct 17, 2011, at 6:24 PM, Rolf Turner wrote: > On 18/10/11 10:35, Michael Parent wrote: >> Hi, all, >> >> I'm running a monte carlo simulation with missing data. The data a

[R] using mean substitution

2011-10-17 Thread Michael Parent
Hi, all, I'm running a monte carlo simulation with missing data. The data are arranged such that there are k columns and n rows over a set number of simulations (set to 10 right now so it runs fast while I set everything up). The data are integers, numbers 1-7 only (normal distribution). The si

Re: [R] R question: generating data using MASS

2011-08-29 Thread Michael Parent
Thanks! "This problem isn't uniquely defined. Are you willing to generate more samples than you need and then throw away extreme values? Or do you want to 'censor' extreme values (i.e. set values <= 1 to 1 and values >=7 to 7)?" I'd like the retain a normal distribution so I wouldn't want to