[R] Freeman-Tukey arcsine transformation
Bos, Roger
roger.bos at us.rothschild.com
Tue Mar 13 19:15:16 CET 2007
I'm curious what this transformation does, but I am not curious enough to pay $14 to find out. Someone once told me that the arcsine was a good way to transform data and make it more 'normal'. I am wondering if this is an improved method. Anyone know of a free reference?
-----Original Message-----
From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Peter Dalgaard
Sent: Tuesday, March 13, 2007 10:58 AM
To: Inman, Brant A. M.D.
Cc: r-help at stat.math.ethz.ch
Subject: Re: [R] Freeman-Tukey arcsine transformation
Inman, Brant A. M.D. wrote:
> R-Experts:
>
> Does anyone know if there are R functions to perform the Freeman-Tukey
> double arcsine transformation and then backtransform it?
>
>
Well, if not, both are given by explicit formulas, so it shouldn't take long to implement, cf.:
The Teacher's Corner
*The Inverse of the Freeman-Tukey Double Arcsine Transformation
<http://www.jstor.org/view/00031305/di020556/02p0095b/0?frame=noframe&dpi=3&userID=c0261211@all.ku.dk/01cce4405c00501bb027f&backcontext=page&backurl=/cgi-bin/jstor/viewitem/00031305/di020556/02p0095b/0%3fframe%3dnoframe%26dpi%3d3%26userID%3dc0261211@all.ku.dk/01cce4405c00501bb027f%26config%3d%26PAGE%3d0&config=jstor&PAGE=0>*
John J. Miller
/The American Statistician/, Vol. 32, No. 4. (Nov., 1978),
p. 138.
Stable URL:
http://links.jstor.org/sici?sici=0003-1305%28197811%2932%3A4%3C138%3ATIOTFD%3E2.0.CO%3B2-Z
Abstract
A formula for the inverse of the Freeman-Tukey double arcsine
transformation is derived. This formula is useful when
expressing means of double arcsines as retransformed
proportions. When the mean is taken from original proportions
involving different n's, it is suggested that the harmonic mean
of the n's be used in the inversion formula.
> Thanks,
>
> Brant Inman
> Mayo Clinic
>
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--
O__ ---- Peter Dalgaard Øster Farimagsgade 5, Entr.B
c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K
(*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918
~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907
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