Hi Matiou: On Thursday 30 August 2007 13:25, Matiou wrote: > Hi, > > I am currently on a placement here at GSK for my studies, and I'm working > on Heckman Models. I have to make simulations, in order to see whether > these models are efficient or not. > > I have to generate a dataset under the following constraints: > > - outcome is 0 or 1 > - one control group, one treatment group, there must be no treatment effect > - generate one continuous variable and one binary variable which are both > perfectly correlated to treatment, but not correlated to outcome > - generate one continuous variable and one binary variable which are both > perfectly correlated to outcome, but not correlated to treatment > - generate one continuous variable and one binary variable which are both > perfectly correlated to both treatment and outcome > > Problem is, it's my first time generating data, so I'm having quite a hard > time... I usually use SAS, but I didn't manage to generate data using it. > Some people told me it's quite easy to do with R, but I'm not really used > to this program. Is it really possible to simulate this kind of data with R > ? If it is, can someone help me ?
For an example, please take a look at the "example" section of function "selection" in the "micEcon" package. HTH, Arne > Thanks in advance. -- Arne Henningsen Department of Agricultural Economics University of Kiel Olshausenstr. 40 D-24098 Kiel (Germany) Tel: +49-431-880 4445 Fax: +49-431-880 1397 [EMAIL PROTECTED] http://www.uni-kiel.de/agrarpol/ahenningsen/
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