[R] Re gression for loop test HELP! URGENT!

Alain Zuur highstat at highstat.com
Mon Jul 20 14:17:53 CEST 2009



Rbeginner wrote:
> 
> Hi everyone!
> I'm new to R, and I've sent this message as a non-member, but since it's
> pretty urgent, I'm sending it again now I'm on the mailing list (Thanks
> Daniel for your suggestion nevertheless).
> 
> I have calculated a regression in the form of M ~ D + O + S, and I would
> like to take this regression and test it with other samples, 5 sets of M,
> D,
> O, and S at a time(I actually have 2000 sets, so it's probably not
> efficient
> to make each a separate set and then index). Since I'll need to test the
> regression for 400 groups, I thought a for loop might be necessary. I've
> put
> everything into a data frame already. Can anyone tell me how to write the
> code? I'm especially not sure about how to do the for loop.
> And then how would I calculate the error of how well the test samples fit
> the original regression?
> This is for my internship, so it's very urgent.
> 
> 
> 
> 
> One option (out of the many):
> 
> for (i in 1:2000) {
>  
>  M <- lm(M ~ D + O + S, subset = blah blah, data = YourData)
>  print(summary(M))
> }
> 
> The "blah blah" select your rows of data for iteration i.
> 
> See also:
> 
> A Beginner's Guide to R (2009). Zuur, Ieno, Meesters. 
> 
> for something very similar. You can dump everything in a text file, or
> just extract the required info from the summary function (like R^2 etc).
> 
> Alain
> 
> 
> Dr. Alain F. Zuur
> First author of:
> 
> 1. Analysing Ecological Data (2007).
> Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p.
> 
> 2. Mixed effects models and extensions in ecology with R. (2009).
> Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer.
> 
> 3. A Beginner's Guide to R (2009).
> Zuur, AF, Ieno, EN, Meesters, EHWG. Springer
> 
> 
> 
> 
> 
> 
> 
> 
> 
> 
> 	[[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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