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My apologies for the statistical naivete of my question but...
Is there an established method or calulating the statistical power of a correlation test? And if so is there a method in R for it? Thank you, Collin Lynch. ______________________________________________ [hidden email] mailing list 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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On May 7, 2012, at 07:44 , Collin Lynch wrote: > My apologies for the statistical naivete of my question but... > > Is there an established method or calulating the statistical power of a > correlation test? And if so is there a method in R for it? There's a pwr.r.test in the "pwr" package. This is based on the Z transform, which makes quite good sense to me. > > Thank you, > Collin Lynch. > > ______________________________________________ > [hidden email] mailing list > 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. -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Email: [hidden email] Priv: [hidden email] ______________________________________________ [hidden email] mailing list 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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In reply to this post by Collin Lynch
Hi Collin,
Look in the package 'pwr' for 'pwr.r.test'. A.K. ----- Original Message ----- From: Collin Lynch <[hidden email]> To: [hidden email] Cc: Sent: Monday, May 7, 2012 1:44 AM Subject: [R] Statistical power of correlations. My apologies for the statistical naivete of my question but... Is there an established method or calulating the statistical power of a correlation test? And if so is there a method in R for it? Thank you, Collin Lynch. ______________________________________________ [hidden email] mailing list 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. ______________________________________________ [hidden email] mailing list 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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In reply to this post by Peter Dalgaard-2
Great thanks Peter!
Collin. On Mon, 7 May 2012, peter dalgaard wrote: > > On May 7, 2012, at 07:44 , Collin Lynch wrote: > > > My apologies for the statistical naivete of my question but... > > > > Is there an established method or calulating the statistical power of a > > correlation test? And if so is there a method in R for it? > > There's a pwr.r.test in the "pwr" package. This is based on the Z transform, which makes quite good sense to me. > > > > > Thank you, > > Collin Lynch. > > > > ______________________________________________ > > [hidden email] mailing list > > 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. > > -- > Peter Dalgaard, Professor, > Center for Statistics, Copenhagen Business School > Solbjerg Plads 3, 2000 Frederiksberg, Denmark > Phone: (+45)38153501 > Email: [hidden email] Priv: [hidden email] > > > > > > > > > ______________________________________________ [hidden email] mailing list 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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In reply to this post by arun kirshna
______________________________________________
[hidden email] mailing list 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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